Globaldev Group

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We're looking for a Senior Data Engineer who is passionate about building robust, scalable data infrastructure and pipelines. You'll work with petabytes of data daily using cutting-edge technologies including Databricks, SQL, Python, Airflow, and modern AI development tools. This role requires someone who can architect solutions, mentor junior engineers, and drive technical excellence across our data platform. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Design, build, and maintain scalable ETL/ELT pipelines processing petabytes of data; Architect data solutions using modern cloud technologies (AWS, Databricks, Snowflake); Implement real-time and batch processing workflows using Apache Airflow; Optimize data storage and retrieval patterns for analytical workloads; Implement comprehensive data quality frameworks and monitoring systems; Establish data governance standards and best practices; Build automated testing and validation for data pipelines; Develop data lineage and metadata management solutions; Lead technical design reviews and architecture decisions; Mentor junior data engineers and promote best practices; Drive adoption of modern development practices including CI/CD for data pipelines; Leverage AI coding assistants (Cursor, Claude, GitHub Copilot) to accelerate development; Implement AI-driven data quality checks and anomaly detection; Stay current with emerging AI tools and their applications in data engineering. Requirements: 3-8 years of data engineering experience; Expert-level SQL - Complex queries, performance optimization, window functions; Advanced Python - Object-oriented programming, async/await, data processing libraries; Apache Airflow - DAG development, custom operators, workflow orchestration; Databricks - Spark optimization, Delta Lake, Unity Catalog governance; Cloud Platforms - AWS (S3, EMR, Lambda, Glue) or equivalent; Data Modeling - Dimensional modeling, data vault, modern data stack patterns; Experience mentoring junior engineers and leading technical initiatives; Strong communication skills for cross-functional collaboration; Experience with Agile methodologies and project management; Ability to translate business requirements into technical solutions. Will be a plus: Experience in financial services, fintech, or data intelligence companies; Background in consumer retail, digital media, or technology verticals; Advanced degree in Computer Science, Statistics, Mathematics, or related field. What we offer: 20 days of vacation; Public holidays; Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues); The exchange of experience and work with talented colleagues; Last but not least - valuable compensation for your efforts.

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We’re looking for exceptional data engineers who will work with petabytes of data daily using diverse technologies like Databricks, SQL, Python, Airflow, and others. You will be expected to effectively partner with upstream engineering teams and downstream consumers, including analysts and product engineers. In this role, you will build datasets to support analytics, experimentation, and machine learning. Specifically, you will build out standards for pipelining at scale, including establishing common operators, workflows/DAGs, and optimizing existing products. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Manage and improve pipeline for cleansing, filtering, and structuring raw datasets for the purposes of company and customer analysis. Implement QA procedures to proactively identify data anomalies and issues. Implement new products and features created by analyst teams using best practices. Work with other team members and internal stakeholders on infrastructure projects, documentation, QA and code reviews. Build and manage Repos. Continuously seek opportunities to standardize code and automate production pipelines. Create and contribute to frameworks that improve the efficacy of logging data, while working with infrastructure to triage issues and resolve. Mentor team members by giving/receiving actionable feedback. Requirements: 3-7 years of experience as a data engineer. Preference given to those that have worked in a similar type role within a data intelligence company or within our desired verticals including consumer retail & brands, digital media and technology. Expertise in data engineering in a cloud environment (Python, Databricks, AWS, Airflow, Snowflake, SQL). SQL & Python required. Working knowledge of PySpark and distributed computing. Strong people and management skills to interact with product managers and data analysts. Familiarity with software development methods such as Scrum and TDD. General project management skills. Ability to clearly articulate project plans, technical requirements, methodologies, and takeaways to both technical and non-technical stakeholders. Bachelor’s or higher degree, or significant experience in Statistics, Mathematics, Computer Science, or a similar quantitative discipline. Ability to thrive in a culture of quality and personal accountability. What we offer: 20 days of vacation. Public holidays. Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). The exchange of experience and work with talented colleagues. Last but not least - valuable compensation for your efforts.

Location: Ukraine; Armenia In this role, you will take full ownership of our core Django service, which acts as the main bridge between our algorithmic models and internal teams. You’ll be responsible for API design, data modeling, cross-team data contracts, and maintaining high performance at scale. As part of the Algo Development team reporting to the Engineering Manager, you will also productionize research code and mentor a junior engineer. We are open to Senior and Staff levels, with the final title agreed upon during the process. Requirements - Bachelor’s/Master’s degree in Computer Science, Software Engineering, or equivalent hands-on experience. - 7+ years of commercial software engineering experience with a primary focus on Python and running production-grade services (excluding internal tools, scripts, or prototype notebooks; Staff candidates are expected to have a longer track record). - Extensive production experience with Django and Django REST Framework (DRF), including shipping, scaling, and troubleshooting complex services (handling high-traffic ORM N+1 queries, transaction boundaries, migrations under load, and custom querysets). Responsibilities - Build & scale Django services: Design, deploy, and maintain high-load Django and Django REST Framework applications on PostgreSQL, ensuring clean data modeling, robust API design, and schema consistency across multiple domains. - Optimize PostgreSQL & manage Auth: Analyze query execution plans, build effective indexes, and tune performance (including time-series via TimescaleDB and spatial queries via PostGIS). Implement enterprise authentication solutions: OAuth/OIDC, federated SSO, token validation, and identity provider integrations. - Set up Wagtail CMS from scratch: Architect and build the partner and operator CMS ground-up, defining page models, structured content, media workflows, and the authoring interface. - Productionize research & algorithms: Wrap research models into production microservices with strict data contracts, model versioning, reliable REST endpoints, and complete observability. - Guide architecture & mentor: Lead code reviews, define foundational architecture patterns, and mentor a junior Python engineer to elevate team standards. Benefits - 20 days of paid vacation, 5 sick days. - Flexible schedule with a high level of autonomy. - Opportunity to influence product and technical decisions. - Professional growth and learning opportunities. - Comfortable working environment with a supportive team.

Location: Ukraine; Poland; Armenia The project is a mobile marketing and audience platform, that empowers the mobile app ecosystem and simplifies mobile marketing, audience building, and mobile monetization. Direct integration with over 500,000 monthly active mobile apps provides access to unprecedented levels of global first-party data, which can be leveraged to understand and predict behaviors, identify new opportunities, and fuel growth. We are looking for a dynamic and experienced Business Intelligence (BI) Developer to join our growing organization. The ideal candidate will possess strong technical expertise in BI tools and excellent communication skills. Responsibilities: Leading the organization to adopt advanced BI tools and BI concepts. End-to-end responsibility for processes – design, develop, test, monitor, support, and maintain. Guiding business and development teams to use reports and alerts properly. Work closely with business, data, product, and tech teams. Requirements: Relevant degree or studies (Information Systems / Industrial Engineering /etc). Proven experience 3-5 years as a Site Administrator Creator in Tableau. Experience writing complex queries in SQL. Experience with Python. Experience with Big Data. Analytical and problem-solving skills, ability to translate business requirements into a technical solution. Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams. Strong analytical and problem-solving abilities, with a keen attention to detail. Hands-on experience using AI tools to increase efficiency and support day-to-day BI development. Ability to thrive in a fast-paced, dynamic, and rapidly growing environment. Would be a plus: Experience with Airflow. Experience in project management and Agile methodologies. What we offer: 20 days of vacation. Purchase the necessary software. Health insurance coverage. Multisport coverage (Poland). Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). The exchange of experience and work with talented colleagues. Last but not least - valuable compensation for your efforts.

Location: Armenia; Ukraine We are looking for an Algo Development Engineering Manager to lead a small team of Python and Java engineers. The team is responsible for developing and maintaining Django services, as well as Flink and Kafka streaming pipelines. You will drive technical direction, manage and mentor the team, review code, and help turn algorithm prototypes into reliable, production-ready services. Requirements: A degree in computer science, software engineering, information systems, or a related field, or equivalent practical experience. Real engineering management experience. You've owned hiring, performance, and delivery for a team, and you can talk honestly about both growing engineers and managing people out. Depth in Python or Java, with working fluency in the other. This one isn't negotiable. You should be able to read a pull request, ask the right questions, and jump into the code yourself. Experience taking prototype or notebook work into a production system that you then had to run. Hands-on PostgreSQL scaling: query tuning, indexing, and schema design. You can read a query plan, find the query that's hurting, and fix it. Good technical judgment, plus the ability to explain your reasoning so the team can act on it. Responsibility: Hire, mentor, and grow the team. That includes recruiting senior engineers, running performance conversations, and shaping how the team works as it gets bigger. Set technical direction for the Django and Django REST Framework service, the Java optimization and services work, and the Flink and Kafka streaming pipelines. Decide when a research approach is ready for production and when it needs rethinking first, then get it there. Own the health of the Django service on PostgreSQL: the data model, the API surface, performance, and reliability. Review pull requests and hold the bar for what ships. Run design reviews, planning, and postmortems, and make sure any work that crosses team lines has an owner before it starts. What we offer 20 days of paid vacation, 5 sick days. Flexible schedule with a high level of autonomy. Opportunity to influence product and technical decisions. Professional growth and learning opportunities. Comfortable working environment with a supportive team.

Location: Athens, Greece We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the company’s data infrastructure. This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the company’s future growth. This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform. Requirements: 5+ years of experience as a Data Platform/Infra Engineer Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures. Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA. Experience with Snowflake. Strong proficiency in Python and SQL. Hands-on experience with Infrastructure as Code, preferably Terraform. Experience with managing a data orchestration platform such as Airflow or Prefect Responsibilities: Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platform’s streaming capabilities. Design and implement data solutions for all application requirements in a distributed microservices environment Develop and optimize large-scale data pipelines for batch and streaming use cases. Ensure data quality, compliance, and governance. Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads. Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks. Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design. Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast. What we offer: Comfortable environment, challenging tasks and a long-term interesting project; Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). Covered 20 days of vacation; Working with top notch equipment; Bookkeeping by a professional accountant; Help and support from our caring HR-team;

Location: Amsterdam, Netherlands; Groningen, Netherlands We are looking for a Senior Java Developer to join our team and play an important role in designing, developing, and delivering high-quality software solutions. You will work on challenging backend projects, collaborate with experienced engineers and stakeholders, and contribute to building scalable and reliable solutions using modern technologies. This is a great opportunity for a strong technical professional who enjoys working in a consultancy environment and is looking for a role where their expertise can make a real impact. Requirements - 5+ years of professional software development experience; - Strong hands-on experience with Java, Spring Boot, Kotlin, and Kubernetes , as well as a similar backend and cloud technology stack; - Fluency in Dutch is required; - Previous experience working in a consultancy environment is a strong plus, as this position is offered on a consultancy basis.

Location: Poland Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose and we want you to help us define the future of cybersecurity. We’re growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount. Responsibilities: Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery. Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks. Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales. Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities. Invest in your team’s professional growth, promoting best practices in code quality, security protocols, and system resilience. Requirements: 3+ years of experience leading R&D teams in a fast-paced environment. 5+ years of experience in backend development, with a strong track record of building complex systems in Python. Deep understanding of networking protocols (TCP/IP, HTTP/S, SSH, RDP) and security concepts (Zero Trust, Identity Management, Encryption). Experience building distributed, high-availability systems that handle real-time traffic and data. Proficiency in utilizing AI development tools (specifically Cursor and Claude) to accelerate development workflows, code generation, and problem-solving. Would be a plus: Familiarity with frontend frameworks like Angular or React. Experience with Cloud-Native technologies (AWS/Azure/GCP, Docker, K8s). Experience in the Cybersecurity industry, specifically in Remote Access (VPN/ZTNA) or Identity (IAM). What we offer Help and support from our caring HR team. 20 working days of annual paid leave. Health insurance coverage. Multisport coverage (Poland) Public holidays. Last but not least - valuable compensation for your efforts.

Location: Poland Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. We’re a fast-growing, award-winning team where innovation meets purpose—and we want you to help us define the future of cybersecurity. We’re growing and looking to hire a Backend Software Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity. At Claroty , our technology strategy is focused on solving real-world cyber-physical security problems at scale through robust, distributed, cloud-native architectures . We design and evolve a unified platform that serves as the technological backbone for all Claroty products, delivering deep visibility across CPS environments—without disrupting critical operations. Our architecture emphasizes scalability, resilience, and extensibility to support both cloud and on-prem deployments. Requirements 6+ years of experience in backend design and development of production-grade applications. Strong experience with Python Solid experience with databases, preferably SQL Experience working with large-scale systems Experience with AI orchestration frameworks such as LangChain or LlamaIndex, or experience integrating third-party AI APIs such as OpenAI or Anthropic. Knowledge of networking infrastructure . Cybersecurity experience — a strong advantage . Ability to learn quickly and adapt to new technologies. Strong teamwork and collaboration skills. Responsibilities Take full ownership of features, from product design through deployment, including end-to-end feature architecture. Plan, design, and develop systems with complex performance and scalability requirements. Design, maintain, and contribute to the company’s code infrastructure. Design, build, and maintain robust, scalable server-side architecture. Integrate with Large Language Models (LLMs) and vector databases. Develop AI-powered API endpoints and services. What we offer Help and support from our caring HR team. 20 working days of annual paid leave. Health insurance coverage. Multisport coverage (Poland). Public holidays. Last but not least - valuable compensation for your efforts.

Location: Ukraine; Poland; Germany We are looking for a Senior Machine Learning Engineer to design, own, and scale predictive systems that power VIS.X - programmatic advertising platform. You will take end-to-end responsibility for high-impact ML initiatives (e.g., pricing optimization, bid prediction, performance forecasting, delivery optimization) and translate complex business problems into robust, production-grade machine learning systems. This is a senior individual contributor role with leadership potential. You will help shape our ML architecture, standards, and long-term AI strategy, with the opportunity to grow into a team lead role as we expand our data science capabilities. Requirements: 5+ years of experience in machine learning / applied ML roles with production ownership Proven track record of deploying and maintaining ML systems in real-world environments Strong Python skills (e.g., pandas, scikit-learn, PyTorch/TensorFlow) Solid knowledge of statistics, experimentation design, and model evaluation Experience working with large-scale datasets and performance-critical systems Understanding of MLOps principles (model lifecycle, monitoring, CI/CD integration, retraining pipelines) Strong problem ownership mindset - ability to independently structure ambiguous challenges Ability to translate business trade-offs into modeling decisions Experience in AdTech, marketplaces, or auction-based systems is a plus Experience working in high-scale, real-time systems is a plus Responsibilities: Take ownership of machine learning problems from concept to production Design, build, and deploy predictive models (e.g. pricing, bidding, optimization, forecasting) Develop scalable feature engineering and data pipelines for large-scale datasets Define experimentation frameworks (A/B testing, offline validation, model comparison) Ensure production-grade MLOps: monitoring, retraining, drift detection, reliability Collaborate closely with DevOps, Product, Engineering teams to align ML with business impact Quantify model impact on revenue, margin, and performance KPIs Contribute to building our long-term ML architecture and best practices What we offer: Comfortable environment, challenging tasks and a long-term interesting project; Covered 20 days of vacation; Working with top notch equipment; Bookkeeping by a professional accountant; Help and support from our caring HR-team;