Вакансии

Location: Denver, CO Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transport, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Senior Enterprise Account Executive at Via, you'll drive revenue growth across the North American Western territory. You'll build the relationships that matter, close the deals that shape how cities invest in mobility, and help authorities and operators across the region rethink what public transport can look like. This is a high-ownership individual contributor role at the intersection of technology, public policy, and real-world impact , on a team that believes better cities start with better transportation. About the Role: Building and closing high-impact partnerships with city governments, transport authorities, and private operators, navigating complex, multi-stakeholder sales cycles from first conversation to signed deal Executing go-to-market plans for West’s unique buying landscape, including public-sector procurement processes, political dynamics, and multi-year funding cycles Creating compelling, data-driven business cases that show how Via's platform improves ridership, efficiency, and sustainability for cities and regions across the market Acting as a trusted advisor to city leaders and mobility operators as they design future transit networks, identify funding mechanisms, and navigate operational and political constraints Representing Via externally in your market, contributing to how modern mobility is understood across the region through conferences, industry events, and thought leadership Sharing market intelligence with product and strategy teams, contributing on-the-ground insight from what cities and operators actually need About You: 6+ years of experience in sales, business development, or strategy, with a proven ability to win in enterprise, government, infrastructure, or tech-enabled services; a background in public transport or mobility is a strong plus A track record of winning complex, multi-stakeholder deals where outcomes are driven by trust and influence Strong analytical and storytelling skills; you know how to turn data, policy, and customer needs into a clear, compelling commercial narrative Ability to read tone and adapt communication style, whether in a boardroom, at a conference, or in a written proposal Curious, resourceful, and comfortable in ambiguity; you don't wait for perfect conditions to start moving Sound commercial judgment; you know when to push, when to listen, and when to rethink the approach to maximise the value of a deal A natural collaborator who views success as a team effort and thrives in high-ownership environments What We Offer: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable Salary Range: $145,000-$165,000 Comprehensive health coverage, with low-cost dental and vision plans A 401(k) with a generous company match and vesting Fully paid parental leave for new parents, with extended leave options Additional benefits (family planning, mental health, pet insurance, and other wellness perks) 20 days of paid time off (PTO) annually There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Warsaw, PL We are looking for a Data Engineer to design, develop, and optimize our data infrastructure on Databricks. You will architect scalable pipelines using BigQuery, Google Cloud Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes. You will leverage Great Expectations to enforce data quality standards. The role also involves building our Data Mart (Data Mach) environment and implementing CI/CD best practices. A successful candidate has extensive knowledge of cloud-native data solutions, strong proficiency with ETL/ELT frameworks (including dbt), and a passion for building robust, cost-effective pipelines. Responsibilities Data Architecture & Strategy – Define and implement the overall data architecture on GCP, including data warehousing in BigQuery/Databricks, data lake patterns in Google Cloud Storage, and Data Mart (Data Mach) solutions. Integrate Terraform for Infrastructure as Code to provision and manage cloud resources efficiently. Establish both batch and real-time data processing frameworks to ensure reliability, scalability, and cost efficiency. Pipeline Development & Orchestration – Design, build, and optimize ETL/ELT pipelines using Apache Airflow for workflow orchestration. Implement dbt (Data Build Tool) transformations to maintain version-controlled data models in BigQuery, ensuring consistency and reliability across the data pipeline. Use Google Dataflow (based on Apache Beam) and Pub/Sub for large-scale streaming/batch data processing and ingestion. Automate job scheduling and data transformations to deliver timely insights for analytics, machine learning, and reporting. Event-Driven & Microservices Architecture – Implement event-driven or asynchronous data workflows between microservices. Employ Docker and Kubernetes (K8s) for containerization and orchestration, enabling flexible and efficient microservices-based data workflows. Implement CI/CD pipelines for streamlined development, testing, and deployment of data engineering components. Data Quality, Governance & Security – Enforce data quality standards using Great Expectations or similar frameworks, defining and validating expectations for critical datasets. Define and uphold metadata management, data lineage, and auditing standards to ensure trustworthy datasets. Implement security best practices, including encryption at rest and in transit, Identity and Access Management (IAM), and compliance with GDPR or CCPA where applicable. Scientists & Analytics Enablement – Collaborate with Data Science, Analytics, and Product teams to ensure the data infrastructure supports advanced analytics, including machine learning initiatives. Maintain Data Mart (Data Mach) environments that cater to specific business domains, optimizing access and performance for key stakeholders. Requirements 1. Experience – 3+ years of professional experience in data engineering, with at least 1 year in mobile data 2. Technical Expertise with GCP Stack – Proven track record building and maintaining BigQuery environments and Google Cloud Storage based data lakes. – Deep knowledge of Apache Airflow for scheduling/orchestration and ETL/ELT design. – Experience implementing dbt for data transformations, RabbitMQ for event-driven workflows, and Pub/Sub + Dataflow for streaming/batch data pipelines. – Familiarity with designing and implementing Data Mart (Data Mach) solutions, as well as using Terraform for IaC. 3. Programming & Containerization – Strong coding capabilities in Python, Java, or Scala, plus scripting for automation. – Experience with Docker and Kubernetes (K8s) for containerizing data-related services. – Hands-on with CI/CD pipelines and DevOps tools (e.g., Terraform, Ansible, Jenkins, GitLab CI) to manage infrastructure and deployments. 4. Data Quality & Governance – Proficiency in Great Expectations (or similar) to define and enforce data quality standards. – Expertise in designing systems for data lineage, metadata management, and compliance (GDPR, CCPA). – Strong understanding of OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing) systems. 5. Communication – Excellent communication skills for both technical and non-technical audiences. – High level of organization, self-motivation, and problem-solving aptitude. What we offer Competitive compensation based on your experience and expertise Long-term contract-based collaboration A collaborative and open environment Flexible collaboration arrangements