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Erste Bank Polska is hiring an AI specialist to design and implement AI-powered solutions: integrating models with external data sources and optimizing/deploying AI. The role requires hands-on experience with PyTorch, Transformers, and AI agents, working hybrid from the Poznań headquarters and other offices.
Data engineer joining Volkswagen Financial Services' European Data & Analytics HUB in Warsaw, on the Vehicle Data API Team that runs a central API platform for vehicle data across VWFS. Day to day: developing and operating cloud-based services, building APIs and data pipelines, participating in CI/CD, and working Agile in cross-functional teams.
Senior Data Engineer on Erste Bank Polska's Data Platforms team: designs data architecture, integrates data sources, and maintains data quality in the data warehouse, working hybrid from the Wrocław office on international projects. Core stack: Databricks, Python, SQL, and reporting tools.
Mid-level data engineer joining the Vehicle Data API Team in Volkswagen Financial Services' European D&A Hub in Warsaw, building and operating AWS cloud APIs, microservices, and data ingestion/processing pipelines for group-wide vehicle data. Core stack: Python, AWS, MySQL, Docker, Terraform, Datadog, CI/CD, with a small on-call rotation and hybrid 3-days-in-office work.
Senior Cloud Data Engineer on VWFS's Vehicle Data API Team in Warsaw, developing and operating cloud-native APIs, microservices, and data pipelines that deliver vehicle data across the group. Daily work spans Python on AWS, Terraform, Docker/ECS/EKS, data quality automation, and light on-call duty (up to 12 days/year).
RITS Group is hiring a mid-level Data Engineer for hybrid work from Warsaw to build data pipelines, process unstructured data, and support modern AI solutions using vector databases (especially Qdrant). Core stack: Python and/or Rust, Kafka/Pub-Sub, REST APIs, Linux; B2B contract at 147.20 PLN/hour.
Data engineer at Point11 builds and owns ingestion pipelines from CRMs, warehouses, and files, modeling data in PostgreSQL and implementing data-quality checks. Remote-first role based in Poland, collaborating in English with teammates across the US, Europe, and Latin America with some Eastern Time overlap.
GFT Poland is hiring a Principal Data Engineer (Data Architect) to lead a data transformation initiative: designing and delivering modern data solutions on Google Cloud Platform, driving architectural decisions, building scalable data processing frameworks, and optimizing data platforms alongside business stakeholders and engineers. Hybrid, 2 office days per week.
The Codest is hiring an experienced Data Engineer to design, build, and manage scalable data solutions on Databricks for a banking application serving a leading Japanese financial group. Day-to-day work centers on Python/PySpark, SQL, Delta Lake, Unity Catalog, ETL/ELT pipelines, and AWS services.
Remote (Poland-based) AI Data Engineer who designs and builds data pipelines and Python/PySpark components in Databricks that feed LLM- and AI-agent-powered business solutions, working with SQL, ETL/ELT and REST APIs. Requires occasional meetings in Warsaw (1-2x/month).
A data engineer role at a Polish bank focused on designing, deploying, and overseeing AI-supported data management systems and automating data management/reporting processes. Core technologies: PyTorch, Hugging Face Transformers, agentic AI, LangChain/LangGraph, RAG, cloud platforms, and Databricks.
Senior Data Engineer leading the design and build of scalable, high-performance data pipelines and production datasets that power Samba's advertising analytics. Core stack includes Python, Apache Spark/PySpark, Airflow, Databricks, and cloud data infrastructure on AWS/GCP, plus mentoring engineers and leading incident response.
Mid-level Data Engineer (B2B) working on a client project migrating on-premise Oracle data (including Informatica PowerCenter ETL) to Google Cloud Platform. Day to day: build BigQuery, Cloud Storage and Pub/Sub pipelines, batch/streaming ETL/ELT, optimize SQL, write Python transforms, and support testing and deployments, with periodic client-site visits in Warsaw (~once a week).
Middle-level Data Engineer at RITS, a Polish IT services company. Builds data pipelines and services for processing unstructured data, working with vector databases (especially Qdrant), embeddings, and RAG-style AI solutions. Hybrid role from Warsaw on a B2B contract at 147.20 PLN/hour.
Senior Data Engineer building and operating PySpark/Databricks ETL pipelines and lakehouse data models for investment teams and Middle/Back office at a financial-services client. Day to day: designing solutions, tuning ETL, writing tests, and resolving production incidents as 3rd-line support.
Data Engineer at Wirtualna Polska building and optimizing the data pipelines that feed ML models for an RTB advertising bidder (real-time ad auctions at massive scale). Day-to-day: pipeline and storage-layer design (Python, SQL, Spark, Polars, columnar DBs), data observability/quality monitoring, and CI/CD for predictive models, with a hybrid setup (3 days in the Warsaw office).
Data Engineer at Point11 builds and owns ingestion pipelines from CRMs and warehouses, models data in Postgres for speed and correctness, and ships data-quality checks powering an AI 'agent-era' answer platform. Remote within Poland; strong SQL plus Python/TypeScript on a small ex-Google founding team.
Samba in Warsaw is hiring a senior data engineering leader to architect and scale data pipelines, own production datasets, schema evolution, cost optimization, and security/observability across the data stack, while mentoring engineers and partnering with Data Science, Analytics, Product, and cloud teams.
Data Engineer on a consulting Data & AI practice, building modern data platforms and pipelines for clients on Microsoft Azure and Azure Databricks. Day to day: ingesting, cleaning, and transforming data into analytics-ready datasets using Python, PySpark, SQL, Microsoft Fabric, and Azure Data Factory, while working with architects, data scientists, and client stakeholders.
Maintains and develops Azure cloud environments backing industrial IoT platforms: builds infrastructure as code and GitLab CI/CD pipelines, runs Docker/Kubernetes/AKS workloads, and handles monitoring, alerting, incident response, security, and cloud cost optimization alongside developers.
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