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Contract role for an Adobe Experience Platform Data Engineer to own an end-to-end Federated Audience Composition (FAC) build — connecting FAC with Databricks, designing federated data models, creating audience compositions, and implementing batch/streaming ingestion into AEP. Core stack: Adobe AEP, FAC, Databricks, SQL.
Senior Data Engineer / Tech Lead placed at a banking client in Wrocław (hybrid, 3 days/week on-site) on a B2B contract. Designs scalable batch and streaming data pipelines and low-latency architectures using Databricks, Spark, Delta Lake, Python and Azure, automates tests and CI/CD in GitLab, and provides technical leadership.
Freelance senior data engineer maintaining and developing data engineering platforms on the AWS native stack (Glue, Athena, DynamoDB, Step Functions, Lambda), building reusable, OOP-based Python/pandas modules deployable across multiple countries and debugging data pipelines within agile teams.
Senior data engineer who designs and builds cloud data pipelines on Databricks with Python, working with architects to enforce best practices across AWS, Azure, and GCP. The role is 100% remote within Poland on a B2B contract, requiring strong English and Polish communication skills.
Senior data engineer who designs and builds a client's data warehouse/lakehouse from scratch: bronze/silver/gold medallion layers, star-schema dimensional modeling, and production Python ETL/ELT pipelines pulling from regulatory and parliamentary APIs. Core stack is Azure (ADLS, Data Factory, Databricks/Fabric), SQL, Git and CI/CD, with direct client collaboration and full documentation handover.
Senior Data Engineer at Sii Polska building and maintaining cloud data pipelines, implementing Airflow workflows, and developing curated data products and semantic layers for analytics and reporting. Core stack: GCP, Python, SQL, BigQuery, Power BI, and ETL/ELT practices.
A Data Engineer designing, building, and maintaining scalable data pipelines on Microsoft Azure (Data Factory, Databricks, Azure SQL) for a global IT services company. Day to day involves ETL/ELT development, data integration and transformation, performance tuning, and collaborating with data scientists and business stakeholders.
Senior data engineer building large-scale data processing on Databricks and Python data pipelines across AWS, Azure, and GCP for a client's Cloud & Big Data team. B2B contract via Optiveum, fully remote within Poland.
Senior Data Engineer at MWI Animal Health (AmerisourceBergen) in Lublin, Poland, designing and maintaining scalable, secure data pipelines with Snowflake, Power BI, and Azure Synapse. The role involves collaborating with Development and Cloud teams, using AI tools to speed up delivery and improve data quality, and supporting legacy systems while evolving the data architecture.
Designs and builds production-grade data pipelines powering ML systems: batch and real-time ingestion, feature engineering, data quality, and orchestration with Airflow. Works with Data Scientists and ML Engineers using Python, SQL, Spark, Databricks, and cloud platforms (AWS/Azure/GCP). This is a remote position based in Poland.
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity…
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity…
A hands-on senior data engineer role to build and own the company's first internal AWS-based data platform: designing raw/staged/curated layers, ingestion pipelines, document-heavy OCR workflows, schema normalization, metadata/lineage standards, and datasets for dashboards and internal AI.
Designs, builds and maintains data pipelines, ETL/ELT integrations and analytics solutions — primarily on Snowflake, Azure Synapse and Power BI — for a pharmaceutical solutions company, including support of legacy integrations. Champions AI-assisted tooling like GitHub Copilot and Claude while ensuring secure, high-quality data delivery.
Senior Data Engineer at Allegro building a highly scalable, fault-tolerant data ingestion platform that collects ~5 billion clickstream events daily (up to 150k/sec) from Allegro's sites and mobile apps. Day-to-day work is Scala/Java/Python development across Spark, Kafka, Beam, BigQuery, Pub/Sub, and Dataflow in a hybrid on-premise/GCP setup.
Senior Data Engineer on a 12-month B2B contract embedded in a banking client's Agile team, designing end-to-end data solutions across AWS and on-prem Oracle, building ETL/ELT pipelines with Airflow, dbt, and SAP Data Services, and contributing to Data Mesh and Medallion architecture implementations.
Data Engineer in Wrocław who designs and maintains scalable ETL pipelines, writes optimized SQL across MySQL/PostgreSQL/MSSQL, and prepares data for ML and BI reporting. Works with Python or R, orchestration tools like Airflow/dbt, visualization tools like Tableau/Power BI, and cloud warehouses such as Redshift, BigQuery, or Snowflake.
100% remote Senior Data Engineer at Infinite Services: designing and building Snowflake data warehouses and data platforms for global clients, creating ETL/ELT pipelines in Azure Data Factory, and automating with Python. Day to day involves performance/cost optimization, leading PoCs, and technically supporting other developers.
Senior Data Engineer in Erste Bank Polska's Data Platform Maintenance team, working hybrid from the Wrocław office. The role focuses on designing and implementing data architecture, optimizing data flows, ensuring data quality, and supporting the bank's cloud migration using Databricks, Python, and SQL.
Simbus, a supply-chain and AI consulting firm, is hiring a remote Data Engineer to migrate client data estates to Databricks, build metadata-driven pipelines, implement Unity Catalog governance, manage CI/CD, and support production Databricks platforms. Core stack: Databricks, PySpark, SQL, Delta Lake, Azure/AWS, and Git-based CI/CD.
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