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Location: Tbilisi, Georgia Workplace: hybrid We’re looking for a Project Manager to join the HQ part of our Driver Marketing team at inDrive. Driver Marketing is a global team responsible for communications with current and potential drivers across 40+ markets — from acquisition and onboarding to engagement, retention and loyalty. The HQ team leads global projects and works closely with regional Driver Marketing teams, Business, Product, Analytics and other Marketing functions. We need someone who can bring all these teams together and turn complex ideas into projects that get done. Key Responsibilities You’ll own complex cross-functional and cross-regional projects from idea to result. Build project strategies and plans: goals, milestones, timelines, owners and success metrics. Bring different teams together, keep everyone aligned and drive projects forward. Track progress, dependencies and risks, and keep project documentation clear and up to date. Set up tests and pilots, define targets, track results and help decide what to scale. Build and improve processes for KPI tracking, reporting and cross-functional collaboration — including automation and AI where it makes sense. Coordinate financial planning and budget tracking, helping the team stay on plan month after month. Help prepare regular business reviews, presentations and reports. Projects will be very different: from large strategic global marketing streams like Driver Safety Perception to more operational on improving how we track KPIs within the team, manage budgets or work with other teams. There will be plenty of room to build things from scratch and make existing things work better. Skills, Knowledge & Expertise Strong project management skills and experience with complex, multi-stakeholder projects. Strong ownership. You don’t just coordinate — you feel responsible for the result. Confidence with numbers, KPIs, targets and budgets. Good understanding of marketing fundamentals, channels and metrics. Strong communication and stakeholder management skills. Ability to bring structure without creating unnecessary bureaucracy. Curiosity and a natural drive to make things simpler, faster and smarter. Fluent English — you’ll use it every day with international teams. Experience in ride-hailing, mobility or marketplaces is a big plus. And finally, we’re looking for someone who is proactive, reliable, collaborative and genuinely great to work with. There will be a lot going on. We need someone who enjoys that — and knows how to turn it into order. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Payroll lead to own the financial side of payroll across all inVision companies, turning HR data into accurate payroll calculations, a reliable budget and clear insights for leadership. The role combines payroll budgeting and financial modeling with hands-on payroll execution, tax management across jurisdictions and close cooperation with HR, accounting and external payroll providers. It is critical to keeping payroll costs transparent, compliant and under control as the organization grows. Key Responsibilities 1. Payroll Planning and Budgeting Build the payroll budgeting process (salaries, bonuses, contributions) across all inVision companies. Create and maintain a strategic, automated payroll financial model in Google Sheets. Prepare the payroll budget for the financial period and update it based on data provided by HR. Calculate the full cost of positions: monthly gross, employer taxes and contributions, annual bonus, currency. Check each position against the payroll limit. Prepare the payroll budget and submit it for approval to the CFO and the Director. 2. Payroll Tax Burden Maintain and update tax conditions for key inVision jurisdictions: tax and social contribution rates, caps, thresholds and payment deadlines (together with local advisors). Calculate employer and employee tax burden for each jurisdiction for the payroll budget and position costing. Monitor changes in tax legislation, assess their impact on the payroll budget and update the financial model on time. Plan payroll tax and social contribution payments in the budget in line with payment deadlines. Analyze payroll tax risks. 3. Financial Control Enter changes provided by HR into the financial model and keep the data up to date. Check new positions and changes against the payroll budget and limits. 4. Monthly Payroll Cycle Calculate salaries, taxes and contributions in Kazakhstan based on HR documents and events (hiring, terminations, vacations, sick leave, timesheets). Calculate payments to other individuals in Kazakhstan (civil-law contracts, student payments). Calculate and pay taxes and contributions for employees and individuals in Kazakhstan. Prepare and submit tax and contribution reports in Kazakhstan. In other jurisdictions, review and control them together with local advisors. Prepare payment registers and organize salary payments. Prepare accounting entries and reconcile payroll with the general ledger monthly. Calculate final settlements on termination based on HR data. 5. Financial Assessment of Compensation Changes Calculate the payroll budget impact of compensation changes (raises, indexations, transfers) approved and provided by HR. Assess requests that exceed department limits for review by the CFO and the Director. Calculate the bonus pool, book accruals and process bonus payments based on HR data. Reallocate payroll limits between departments and legal entities within the approved budget. 6. Control and Analytics Run plan-vs-actual analysis and rolling forecasts for payroll. Prepare management analysis and payroll reports for leadership. 7. Methodology and Development Develop and maintain policies and control procedures for the financial part of the payroll process. Work with HR, accounting, banks, external payroll providers and auditors on financial payroll matters. Take part in automation and ERP system development for payroll. Skills, Knowledge and Expertise Requirements Degree in Economics or Finance. Certifications in payroll, taxation or accounting are a plus. At least 4–5 years of experience in payroll, tax and contribution calculations and/or payroll budget planning. Experience in other jurisdictions is a plus. Experience coordinating external payroll providers and cross-functional processes (HR, accounting, finance). Strong knowledge of labor and tax legislation related to payroll, taxes and social contributions (Kazakhstan is required; other jurisdictions where we operate are a plus). Experience building financial models and budgets. Experience with the full payroll cycle in Kazakhstan: calculation, reporting to social funds, payments, accounting entries and reconciliation. Experience with payroll, HR and accounting/ERP systems (1C:ZUP or similar) and master data management. Advanced Excel / Google Sheets skills (pivot tables, models, formulas) and financial analysis skills. English at C1 level or higher. Key Competencies Attention to detail and accuracy. Error-free work with large volumes of calculations and personal data. Confidentiality and ethics. Strict confidentiality of employee compensation information. Analytical thinking. Ability to explain variances and turn numbers into insights for leadership. Cross-functional communication. Constructive work with HR, department heads and the CFO; ability to defend budget limits with clear arguments. Ownership and meeting deadlines. Strict adherence to payroll calendar and tax reporting deadlines. Flexibility and adaptability in a fast-changing environment. Ability to respond quickly to shifting project priorities and reflect changes in payroll records.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Kuala Lumpur, Malaysia Workplace: hybrid We are looking for a Customer Support Specialist to deliver responsive, professional, and high-quality customer support. This role is key in ensuring customer issues are resolved efficiently while providing an excellent service experience across chat, email, and occasional outbound calls. Key Responsibilities Handle customer inquiries via live chat and email as primary channels, with occasional outbound calls for follow-ups and verification Diagnose, troubleshoot, and resolve customer issues accurately and efficiently Manage returns, exchanges, refunds, and customer complaints in line with company guidelines Maintain accurate and detailed records of customer interactions in the CRM system Provide timely updates to customers on case progress and resolution status Handle complex or unresolved cases by escalating them to the relevant internal teams Ensure proper escalation of issues for investigation and resolution Gather and escalate customer feedback to support continuous improvement Maintain high standards of professionalism, empathy, and service quality in all interactions Support the achievement of CSAT and other performance KPIs Able to work on site Skills, Knowledge and Expertise Minimum 1 year of experience in Customer Service, Technical Support, or Contact Center environment Minimum Diploma in any field Strong typing skills with high accuracy for real-time case handling Ability to multitask and manage 3 to 5 live chat conversations simultaneously Comfortable working in a fast-paced environment with frequent updates and changes Strong communication skills, both written and verbal Good problem-solving and troubleshooting abilities Experience using CRM systems or support tools is an advantage Strong sense of accountability, ownership, and customer focus Reliable with strong attendance and punctuality record Flexibility to be assigned to support different regions on an ad hoc basis Languages: Bahasa( Indonesian), Malay and English are needed. Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We’re looking for a Project Manager to join the HQ part of our Driver Marketing team at inDrive. Driver Marketing is a global team responsible for communications with current and potential drivers across 40+ markets — from acquisition and onboarding to engagement, retention and loyalty. The HQ team leads global projects and works closely with regional Driver Marketing teams, Business, Product, Analytics and other Marketing functions. We need someone who can bring all these teams together and turn complex ideas into projects that get done. Key Responsibilities You’ll own complex cross-functional and cross-regional projects from idea to result. Build project strategies and plans: goals, milestones, timelines, owners and success metrics. Bring different teams together, keep everyone aligned and drive projects forward. Track progress, dependencies and risks, and keep project documentation clear and up to date. Set up tests and pilots, define targets, track results and help decide what to scale. Build and improve processes for KPI tracking, reporting and cross-functional collaboration — including automation and AI where it makes sense. Coordinate financial planning and budget tracking, helping the team stay on plan month after month. Help prepare regular business reviews, presentations and reports. Projects will be very different: from large strategic global marketing streams like Driver Safety Perception to more operational on improving how we track KPIs within the team, manage budgets or work with other teams. There will be plenty of room to build things from scratch and make existing things work better. Skills, Knowledge & Expertise Strong project management skills and experience with complex, multi-stakeholder projects. Strong ownership. You don’t just coordinate — you feel responsible for the result. Confidence with numbers, KPIs, targets and budgets. Good understanding of marketing fundamentals, channels and metrics. Strong communication and stakeholder management skills. Ability to bring structure without creating unnecessary bureaucracy. Curiosity and a natural drive to make things simpler, faster and smarter. Fluent English — you’ll use it every day with international teams. Experience in ride-hailing, mobility or marketplaces is a big plus. And finally, we’re looking for someone who is proactive, reliable, collaborative and genuinely great to work with. There will be a lot going on. We need someone who enjoys that — and knows how to turn it into order. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid You’ll be the single point of contact for our fleet partners: running in-person business reviews, solving problems quickly, and building plans that grow their fleets and their earnings on inDrive. Your goal is to turn signed partners into long-term, reliable partnerships — growing their fleet size and utilisation, making sure every incentive pays off in performance, and keeping our partners loyal in a competitive market. This is a hands-on, high-impact role: you’ll work directly with partner owners, our operations and commercial teams, and see the results of your work in the numbers every month. Key Responsibilities Grow your partner portfolio Own the success of our fleet partners in Mexico — helping them activate cars quickly, keep drivers on the road, and grow their business with inDrive Build a joint growth plan with each partner, covering new cars, utilisation goals and expansion into new cities Run regular in-person business reviews, using live performance data to spot opportunities and fix problems early Manage the commercial relationship Manage each partner’s incentive programme, making sure rewards follow real performance Handle contract renewals and negotiate terms when a partnership needs to change Work with our commercial team on non-standard deals and keep all agreements up to date Keep operations running smoothly Partner with our driver operations team to get new drivers onboarded and active fast Help partners get the most out of our fleet management tools, so they can run their business more independently Be the go-to person when issues come up Bring the market to us Keep a close eye on competitors and what they offer Share what you learn from the field to help shape our partnership strategy Skills, Knowledge & Expertise Required 3+ years in key account management in B2B, mobility, logistics or marketplaces Track record of growing large accounts in person, with joint business plans and reviews Strong commercial and analytical skills: comfortable with performance data, incentive economics and dashboards Fluent in the local language and good in English Preferred Experience with fleet operators, taxi parks, car rental or automotive dealers Existing network among local fleet owners Exposure to ride-hailing or other two-sided marketplaces Job Benefits Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is a global technology company building products used by millions of people around the world. We are looking for a Senior DevOps Engineer to join our Market Intelligence team and help build and maintain reliable, scalable, and efficient infrastructure for data-driven products. In this role, you will work closely with development and data teams, improve CI/CD processes, automate infrastructure and deployments, and ensure the stability and scalability of our systems across different environments Key Responsibilities Building a geo-distributed infrastructure, ensuring maximum performance and reliability of our services Participation in the life cycle of projects at all stages, including the design and development of services, resource planning and maintenance Improving processes related to system maintenance (fault tolerance, scaling, postmortems, finding and eliminating bottlenecks) Automation of build, test and application delivery processes Development of services and infrastructure management tools Taking part in creation of PaaS platform On-call duty Skills, Knowledge and Expertise Deep knowledge and understanding of Linux OS (Ubuntu, Amazon Linux) Deep knowledge of Docker / Containerd containerization technologies Experience in building CI/CD Pipelines Experience in using Ansible / Saltstack and writing roles / playbooks / states / pillars Strong understanding of command of Git Ability to independently decompose tasks and bring them to the end Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 90 700 gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for an Engineering Manager to lead and develop a team of infrastructure engineers responsible for critical production systems. This role combines people management with strong technical expertise , requiring a solid infrastructure background and deep knowledge of AWS, Kubernetes, distributed systems, networking, and infrastructure automation . Key Responsibilities Lead, manage, and develop a team of infrastructure engineers responsible for critical production systems Own team execution, delivery, and day-to-day prioritization in alignment with infrastructure strategy and architectural direction Run the shared goals and collaborate with the Infrastructure Security, and other platform teams Translate infrastructure priorities into clear team plans, milestones for both infrastructure and product teams Work with Staff and Senior engineers to ensure technical solutions are delivered effectively and aligned with established architectural principles Ensure the reliability, availability, and operational readiness of systems owned by the team Own the team’s operational practices, incident response, postmortems, and completion of follow-up actions Set clear expectations, run regular 1:1s, provide actionable feedback, and support engineers through performance reviews and Individual Development Plans Skills, Knowledge and Expertise 7+ years of experience in software, infrastructure, SRE, or platform engineering, including 2+ years in an engineering management role within a Platform cluster Proven experience leading and developing engineering teams responsible for production infrastructure or platform systems Strong infrastructure engineering background, with sufficient technical depth to review architecture, challenge decisions, and work effectively with Staff and Senior engineers Strong understanding of cloud infrastructure, especially AWS, Kubernetes, distributed systems, networking, and infrastructure automation Experience operating highly available, business-critical systems, including incident management, on-call, postmortems, capacity planning, and operational excellence Proven ability to set priorities, build execution plans, and deliver complex engineering initiatives while balancing reliability, technical debt, operational work, and long-term investments Ability to delegate technical ownership and enable senior engineers to lead major technical initiatives Strong cross-functional leadership skills, with the ability to align teams, manage dependencies, and resolve organizational, process, and technical bottlenecks Professional working proficiency in English Nice to Have Experience operating infrastructure across multiple regions, data centers, or hybrid cloud environments Experience managing teams with significant networking or distributed infrastructure responsibilities Experience working in organizations where infrastructure teams provide internal platforms and services to a large number of engineering teams Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid Join the Storefront Team and help build the core customer-facing experience of our marketplace - from discovering partners and browsing product catalogs to product details, cart, and checkout. You’ll work on scalable backend solutions that provide a seamless experience across different partners while improving performance, personalization, conversion, and enabling the rapid integration of new partners. Location: Georgia (country) 🇬🇪 Key Responsibilities Developing backend services for a grocery storefront, including catalog, categories, search, PDP, cart, and checkout. Working with large catalogs and assortments that depend on a specific store, warehouse, or user location. Handling frequently changing prices, inventory, discounts, and product availability. Validating the cart before checkout, including prices, availability, quantity limits, minimum order value, and store restrictions. Supporting grocery-specific scenarios such as weighted products, unavailable items, and substitutions. Integrating with catalog, pricing, inventory, order, payment, and delivery services. Onboarding grocery partners with different APIs and data models. Ensuring low latency, high availability, and resilience of customer-facing flows. Skills, Knowledge and Expertise Mandatory: proven experience in the grocery 5+ years of commercial backend engineering. With experience solving complex problems in high-load environments Strong knowledge of Go programming language. Knows and has applied advanced features of the Go language in practice Strong SQL knowledges, including designing schemas, scaling strategies (replication, partitioning, sharding) and query optimisation for high-load environment In-depth knowledge of Redis, familiar with various data structures, and its efficient use in high-load systems Experience working with Docker, understanding CI/CD pipelines. Knows how work k8s (or analogs) and cloud infrastructure (like AWS) Experience with synchronous and asynchronous inter-service communication patterns, with a focus on reliability in high load environment Knows main microservice architecture patterns. Deep understanding of how to build efficient interactions between client and server applications, knows limitations Proven ability to design and implement a full observability strategy, including metrics, logging, dashboards, and tracing An interest in new technologies, a collaborative spirit, and a drive to continuously develop your skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Senior Data Project Manager to join inDrive's Data Platform. You will work in close partnership with the Engineering Managers of two core teams, Data Ops and Data Delivery, and coordinate projects that span multiple data platform teams: for example, onboarding data from external partners and orchestrating its downstream transformation into analytics-ready data marts. Key Responsibilities Coordinate cross-functional Data Platform (DWH) initiatives end-to-end, from source-system integration through the warehouse to analytical data marts Act as the single point of accountability for initiative outcomes, ensuring value delivery within expected timeframes Drive projects that cut across several teams, e.g. partner data ingestion followed by transformation and modeling, aligning scope, sequencing, and ownership between Data Ops, Data Delivery, and adjacent teams Work in tandem with the Engineering Managers of Data Ops and Data Delivery on planning, capacity, and execution; participate in the operational management of the teams Own project and initiative schedules: identify risks, dependencies, and potential slippage early, and communicate them promptly to all stakeholders Manage priorities across product-driven requests from internal data consumers and long-term platform investments (reliability, data quality, governance, security) Build a process for continuous improvement of team metrics: delivery performance, quality, engagement, and team maturity Facilitate project- and program-level events (planning, syncs, retros, stakeholder reviews) Translate between business and technical teams, keeping internal consumers, engineering, and leadership aligned Skills, Knowledge and Expertise 3+ years of project or program management experience in Data Platform, Data Warehousing (DWH), or Analytics environments Demonstrated success managing complex initiatives with multiple stakeholders, teams, and moving parts Solid command of modern goal-setting and project management tools Exceptional communication and stakeholder alignment skills: able to translate between business and technical audiences Highly organized, with strong prioritization, risk management, and accountability-driving skills Strong systems thinker; brings clarity and structure to ambiguity Nice to have Hands-on experience in Data Platform / Data Warehouse ecosystems: understanding of data pipelines, ODS-to-data-mart layering, streaming and batch delivery, data governance Experience in high-growth consumer tech Familiarity with modern data stack tooling (dbt, Airflow, Kafka, BigQuery or similar cloud DWH) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 70 100 EUR gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Senior HR Technology (People & Talent Enablement) Manager to serve as a strategic bridge between Business, HR, IT teams, and external vendors within a global organization of 3,000+ employees. Key Responsibilities HR Systems Strategy & Leadership: Define and drive the HR technology strategy and roadmap, aligned with HR function objectives. Drive the analysis and selection of a new system(s) to consolidate the current scattered HR landscape. Ownership and Operational Excellence: Lead the scaling, optimization, and governance of current and new HR systems. Manage day-to-day operations, system performance, data integrity, and uptime across HR systems. Define and implement the optimal data integration landscape. Program & Change Management: Maintain a rolling 12-month project roadmap and visibility into a 24-month planning horizon. Lead change management and user training programs to drive adoption and ensure effective use of current and new HR systems. Own the end-to-end new HRIS implementation project, including business requirements gathering, solution design, quality assurance, UAT, and post-implementation support. Process Automation & Innovation: Support HR in design of new business processes leveraging the functionality and capabilities of the HR system(s). Identify and execute on opportunities to automate manual workflows and improve data accuracy and operational efficiency through RPA and AI/ML initiatives. Cross-Functional Partnership & Execution: Serve as the bridge between HR, corporate IT, IT Operations and engineering, ensuring business needs are translated into scalable, technology-enabled solutions. Governance & Compliance: Partner with Cybersecurity and other stakeholders to ensure data privacy, SOX compliance, and adherence to regulatory and reporting standards. Implement appropriate controls and risk management practices to support data integrity, confidentiality, and system reliability. Team & Project Ownership: HR Automation team (up to 7 FTEs) - full direct people management, including prioritization, planning, and performance oversight. Own the end-to-end new HRIS implementation project(s), including relationships with vendors and third parties. Skills, Knowledge and Expertise Experience leading multi-module HRIS implementations in complex, international environments (experience in at least 3 of areas: Core HR, Workforce Management, C&B, L&D, and Recruitment) Expertise in HR process optimization and data architecture, understanding of global HR workflows and best practices Strong familiarity with the modern HR tech ecosystem and trends (SaaS, integration layers, AI, and people analytics) Fluency in English required Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 102 100 EUR gross. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: remote We're looking for a driven and detail-oriented Recruiter to partner with business leaders across our Ride-Hailing and Marketing. As a Recruiter, you'll own the full recruitment lifecycle for our business across Africa, with an initial focus on South Africa and Egypt. You'll work closely with HR Business Partners and hiring managers to deliver consistent, high-quality hiring outcomes. You bring structure, curiosity, and a genuine care for candidate experience to every search, and you're comfortable managing multiple roles in a fast-paced environment. Key Responsibilities Act as a reliable point of contact for hiring managers across Ride-Hailing and Marketing, using market knowledge and data to support hiring decisions and align recruitment activity with business needs. Own and manage the full recruitment lifecycle (from brief in call to offer), ensuring a timely and positive experience for candidates and hiring managers. Develop and execute targeted search strategies, proactively sourcing qualified candidates through job boards, LinkedIn, networking, and direct outreach. Partner with HR Business Partners and stakeholders to support continuous improvement in hiring processes and candidate experience. Drive consistency and efficiency across recruitment workflows, contributing to team projects that enhance the quality of hiring. Build and maintain talent pipelines for recurring and anticipated hiring needs. Use market data and competitor insights to provide relevant context to hiring managers on talent availability and candidate expectations. Skills, Knowledge & Expertise 3+ years of recruitment experience, ideally in tech or digital fast-paced international environment. Experience recruiting for commercial, marketing, or operations roles in South Africa and Egypt, ideally in ride-hailing or mobility. Ability to build effective relationships with hiring managers and candidates at all levels. Solid sourcing skills, comfortable going beyond inbound applications to find the right talent. Organised and process-driven, you manage multiple searches without dropping the ball. Clear and confident communicator, with strong written and verbal English skills. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.