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A 3-month hybrid contract role in Warsaw for an experienced Data Engineer to build and maintain data ingestion pipelines powering an AI data marketplace platform. Day-to-day work centres on Azure Data Factory, Azure Databricks, PySpark/Spark and SQL to deliver stable, scalable ETL data products.
Data Engineer in Capgemini's Insights & Data team (Gdańsk, hybrid) designing and building cloud-native data architectures and pipelines on AWS that power analytics and machine learning. Day to day: develop and optimize DWH/Big Data solutions using AWS services like Glue, Redshift, Lambda and S3, plus tools like Terraform, Docker and Airflow within CI/CD environments.
Senior data engineer who designs, builds, and optimizes scalable Apache Spark applications on the Azure stack (Databricks/Synapse/Fabric) using Python (Pandas/Polars, Parquet/Delta Tables) to power AI-driven tools supporting tax services delivery. Also sets coding standards, reviews code, documents workflows, and liaises with the client.
Senior engineer in Capgemini's Insights & Data practice who designs and builds cloud-based data platforms (AWS/Azure/GCP), batch and streaming data pipelines, and MLOps/GenAI-enabled workflows for enterprise clients, working with Spark, Snowflake, SQL/NoSQL, Python/Scala, Docker, Kubernetes, and CI/CD tooling.
Senior Data Engineer building and optimizing ETL/ELT pipelines for varied client projects (4-6 months, extendable) across publishing, banking, healthcare, and other sectors. Core stack: Python, SQL, Snowflake, and dbt, with pipeline orchestration via Airflow or Dagster on AWS, Azure, or GCP.
Design and build an AWS-based Data Lakehouse platform that centralizes a client's operational data to enable reporting, advanced analytics, and self-service BI, replacing Excel-based reporting. Day-to-day work spans AWS data services (S3, Glue, Athena), Terraform infrastructure as code, and IAM security; requires 5+ years' experience and B2 English.
Senior data engineer who rebuilds and runs a US youth-sports insurance client's data platform: replacing legacy ETL with orchestrated pipelines on Azure and Snowflake (medallion architecture), productionizing ML scoring, and owning DevOps including an AWS-to-Azure migration. Full-time B2B, remote within EU/Poland.
Data Engineer at Sii Polska modernizing a backend data processing platform for an investment bank client, building and optimizing large-scale data pipelines with Scala, Apache Spark, and Java on an internal cloud. Hybrid role in Warsaw with 2-3 days per week in the office.
Kambu is hiring a Data Engineer / Data Platform Developer (remote within Poland, or office/hybrid) to build data pipelines, system-to-system integrations, and maintain .NET applications on Azure. Core stack: C#, ASP.NET Core, .NET 8, Entity Framework, SQL, Azure Data Factory, Logic Apps, Service Bus, and low-code tooling.
Lead data engineer/DataOps specialist building and automating data products on a cloud platform built around Snowflake and AWS S3, with data sourced from SAP HANA views and pipelines orchestrated via custom GitLab CI/CD workflows. Acts as technical lead, setting engineering standards and driving DataOps best practices using Python, SQL, and Bash.
Designs and builds scalable AWS data pipelines (Databricks, Spark, Delta Lake) for a multitenant data platform handling ingestion, transformation, cataloging, and distribution, while leading technical delivery of core platform layers and collaborating with cross-functional teams across the US and Poland.
Senior Data Engineer joining Idego's client data team on an initial 4-month contract (extendable) to build and maintain core data infrastructure powering analytics. Day to day involves developing and documenting dbt models, maintaining Airflow and Airbyte pipelines, and improving pipeline reliability on a cloud platform like Snowflake.
A senior Data Engineer (5+ yrs) designs and builds scalable ETL/ELT pipelines and cloud-based data platforms on AWS, working daily with Python, SQL, Spark/PySpark, big data and Data Warehouses/Lakes. The role mixes hands-on engineering with architecture, troubleshooting, stakeholder collaboration and mentoring.
Senior data engineer designing reusable Python data-processing modules and supporting the migration of a suggestion-generation platform to a new CRM, including debugging pipelines across AWS services. Day-to-day work centers on Python/pandas plus AWS Glue, Athena, DynamoDB, Step Functions, and Lambda in agile teams; pharma/healthcare data exposure is a plus.
Senior Data Engineer building and maintaining scalable big-data solutions (Hadoop ecosystem, Spark/PySpark, Airflow-scheduled ETL pipelines) as part of an Agile, DevOps-driven team in Kraków. Day-to-day includes development, testing automation, code reviews, and production support.
Senior Data Engineer who designs, builds, and scales Azure-first cloud data platforms (Databricks, Spark, CI/CD, DataOps) for Cloudfide's global clients, including retail and Fortune 500 leaders. The role spans architecture decisions, pipeline optimization, best-practice standards, and mentoring engineers.
Mid/Senior Data Engineer at consulting firm Xebia: design, build, and maintain scalable batch and real-time data pipelines and ELT workflows on AWS (S3, Glue, Lambda, Redshift) using Python, SQL, dbt, and Airflow, with Kafka/Spark/NiFi streaming work and participation in an on-call rotation.
Senior Data Engineer at Spyrosoft in Wrocław building and optimizing modern data platforms: designing scalable ETL/ELT pipelines and batch/streaming processing with Databricks, Apache Spark (PySpark, Spark SQL), Delta Lake and Medallion Architecture, plus data modelling, quality/monitoring and CI/CD work in cloud environments.
Data Engineer at Reply Polska (Data Reply) designing, building, and operating scalable batch and streaming data pipelines and platforms for analytics and machine learning. Core stack includes Python/Java/Scala, Spark, SQL, and AWS (Databricks a plus); hybrid work with monthly Katowice office visits and travel to a Lisbon client office.
Wspólnie z naszym Partnerem, międzynarodową organizacją z branży ubezpieczeniowej realizującą strategiczne inicjatywy transformacji danych w wielu krajach, poszukujemy doświadczonego/ej specjalisty/ki do realizacji…
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