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A 12-month contract Senior Data Engineer role at an insurance-sector client in Toronto (hybrid, 3 office days/week), designing end-to-end data pipelines, lakes, and warehouse solutions. Core stack is Snowflake, AWS, and Python/Java/Scala/SQL.
Hands-on senior engineer on Chartis' Data Platform & Infrastructure team, building and operating the data platform behind the firm's healthcare advisory work — designing orchestration pipelines with Airflow/Dagster, data catalog and observability with DataHub, and Terraform-provisioned Azure infrastructure alongside Snowflake, dbt, and Python.
Axel Springer Tech in Berlin is hiring a (Senior) Manager for its Privacy Products team: you'll manage the implementation of data privacy requirements across news media brands (WELT, BILD, Rolling Stone, Computerbild) and platforms (web, app, SmartTV, connected car), lead projects, and develop the company's consent management platforms and privacy products.
Centerfield is hiring a Senior Data Engineer to build software for end-to-end data platform migrations (notably Snowflake to BigQuery with Looker reporting transitions), design scalable production data pipelines, and serve as SME for data flows and reporting. Core stack includes BigQuery, Snowflake, SQL, Python, Talend ETL/ELT, and cloud platforms (AWS/GCP/Azure).
Senior Data Engineer on Adyen's Developer Experience team in San Francisco, designing and operating high-quality ELT pipelines and data architectures that power integration insights and recommendations for merchants and partners. Core stack: Python, PySpark, Spark, Airflow, Hadoop, Kafka, and SQL. Office-first role in the SF office.
Lead commercial data governance, stewardship, and operational management of data assets—including data catalogs, metadata, business rules frameworks, and data quality—at a biotech company.
Tessera Labs is hiring a Senior Data Platform Engineer to build backend services and APIs for data access, querying, ingestion, and synchronization across enterprise systems. The role centers on Python, SQL, relational databases, and distributed/concurrent workloads, with cloud infrastructure (AWS/Azure/GCP) as a nice-to-have.
Senior Data Engineer on a hybrid-cloud platform project integrating Databricks with Oracle and SAS (on-premise + Azure): building ETL pipelines, data architecture, warehouse modeling, and CI/CD automations. Hybrid role with one day per week onsite in Warsaw.
DS STREAM is hiring a Senior Data Engineer for its AI Data Engineering team to build multicloud (Azure + GCP) data platforms powering Generative AI, LLM and RAG systems. Work is 100% remote within Poland (optional Warsaw office), focused on PySpark/SQL pipelines, Unity Catalog, API integrations, embeddings and vector databases.
Senior data engineer designing and building data reconciliation and Data Lakehouse pipelines (Raw/Bronze/Silver/Gold) with Apache Spark (PySpark, Spark SQL), MongoDB and Apache Iceberg, plus CI/CD with Jenkins and monitoring via Prometheus/Grafana. Hybrid: 1-2 days/week from the Wrocław office; B2B paid per man-day.
Avenga Poland is hiring a Senior Data Engineer for its SML Warehouse Management team to build and improve modern data solutions using Databricks, PySpark, SQL, and batch/streaming pipelines, including work with Unity Catalog. Preferably hybrid in Wrocław (2 days in office), with 100% remote work possible.
Senior Data Engineer on Siemens Energy's Data-Driven Project Modelling (DPM) team within Wind Power Finance, building data models, pipelines, and backend platform capabilities on Azure Databricks to support warranty cost insights for global wind projects. Day-to-day blends Python/SQL/Spark development, DevOps practices, and collaboration with finance stakeholders in an Agile Scrum team.
Senior Data Engineer at Siemens Gamesa in Poland, owning data pipelines, data models, and backend platform capabilities in Azure Databricks. Works in a small Agile Scrum team with finance and warranty management to deliver reliable, scalable data solutions across geographies.
Senior data engineer at Future Mind, a Polish tech consulting firm (part of Solita Group): designs and implements Databricks ingestion/transformation pipelines and end-to-end ELT workflows, builds data models and platform architecture on the Azure data stack, and works with stakeholders. Remote work options and growth offered.
Designs and builds data processing, synchronization and reconciliation pipelines for a Data Lakehouse architecture using Apache Spark (PySpark, Spark SQL), MongoDB and Apache Iceberg, plus CI/CD with Jenkins and monitoring with Prometheus/Grafana. Hybrid role in Wrocław with 1-2 office days per week.
Senior Data Engineer / Spark Developer joining a Data Platform team to design and build data reconciliation, quality, and Data Lakehouse (Raw/Bronze/Silver/Gold) solutions using Apache Spark (PySpark/Spark SQL), MongoDB, and Apache Iceberg. Also handles CI/CD (Jenkins), Docker/Kubernetes deployments, and Prometheus/Grafana monitoring; hybrid with 1–2 office days per week in Wrocław.
WPP Open Intelligence in Warsaw is hiring a Senior Data Engineer to design, build, and maintain scalable cloud-native data pipelines, partnering with cross-functional teams to improve data quality, observability, and performance. Core stack: Python/Go/Scala, Spark, GCP, Terraform, Kubernetes, CI/CD. Hybrid role in Warszawa.
Builds and optimizes enterprise data pipelines for B. Braun's Sustainability Data Foundation, designing Bronze/Silver/Gold data models and integrating sources like SAP, Net Zero Cloud, and SuccessFactors using Azure, Microsoft Fabric, Databricks, SQL, and Python in a hybrid, Agile team.
Senior Database/Data Engineer joining a new R&D organization in Kraków, designing and scaling high-transaction database infrastructure (PostgreSQL/MySQL, DocumentDB, AWS/GCP cloud databases), Kafka/Debezium CDC streaming, and data lakes (Snowflake/S3). Initially fully remote, later hybrid from the Kraków office; primarily employment contract (UoP).
Senior/Lead Data Engineer owning an AWS-native data platform that powers underwriting intelligence, GenAI insights, and large-scale content processing. Day to day spans the full data lifecycle—ingestion, transformation, storage, retrieval, and AI consumption—using Python pipelines, .NET services, Aurora PostgreSQL, OpenSearch, and LangGraph agentic workflows.
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