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Senior Data Engineer joining Avenga's SML warehouse management team in Wrocław, building and improving modern data solutions in a global team. Core stack: Databricks, PySpark, SQL, batch and streaming processing, workflows, and Unity Catalog, supporting warehouse and supply chain priorities.
Senior AWS Data Engineer in Poznań who designs and builds data ingestion pipelines from Amazon SP-API/Data Kiosk and SAP sources, develops ETL with AWS Glue, and maintains DataOps quality gates. Requires an AWS Certified Data Engineer-Associate and professional-level English.
Senior data engineer designing and maintaining scalable batch and streaming data pipelines on AWS using Databricks, PySpark, and SQL. Works across the full project lifecycle from PoC to production, with Spark, Delta Lake, Airflow/MWAA orchestration, and Kafka/MSK/Kinesis streaming.
Builds and maintains scalable data pipelines on Google Cloud, supporting a client's migration to BigQuery — developing ingestion and transformation frameworks, orchestrating and monitoring workloads with Airflow, and delivering production-grade data products using Python, SQL, and dbt.
Senior Data Engineer building and optimizing scalable data pipelines for analytics, recommendation systems, and Machine Learning, processing billions of events daily on Kubernetes/GKE infrastructure. Core stack: Python, SQL, Spark, Airflow, and a major cloud (GCP, AWS, or Azure).
Harvey Nash Technology is recruiting a Mid/Senior Data Engineer for a client in Warsaw (hybrid) to build big data ingestion/transformation pipelines and cloud-based distributed infrastructure using Python and Spark/Scala, collaborating with investment professionals and data scientists. Full-time employment, 24,000-35,000 PLN gross/month.
Senior Data Engineer at STX Next (Katowice, Poland) designing and building scalable data pipelines, warehouses, data lakes and distributed systems for international clients, with a consultancy/architecture role. Core stack: Python, SQL, dbt, Apache Airflow, Snowflake/Databricks/Apache Iceberg, and AWS or Azure data services.
A client-facing data engineer who designs and builds scalable data solutions and production ELT/ETL pipelines using Databricks Lakehouse, SQL, Python, and cloud platforms (Azure preferred, AWS also) across consulting engagements, while interacting with stakeholders and championing data governance.
Senior Data Engineer at DS STREAM, a data consulting company, working 100% remotely across Poland on a mature high-availability Data Hub built on Azure Databricks using Unity Catalog, Spark Structured Streaming, Asset Bundles and Medallion Architecture. Requires 5+ years in data engineering with strong Python, SQL, Azure and Databricks skills.
Senior Data Engineer at Jacobs' Digital & Data Hub, designing, building, and operating enterprise-scale on-premises and hybrid data platforms. Day-to-day is hands-on work building reliable ETL/ELT pipelines and data models using SQL databases (SQL Server, Oracle, PostgreSQL), big data tech (Spark, Hadoop, Hive, Kafka), and orchestration tools like Airflow.
Senior Data Engineer building scalable ETL/ELT pipelines (Bronze→Silver→Gold) and data models in Google BigQuery for a global e-commerce/marketplace platform, harmonizing financial and operational data across regions. Core stack: BigQuery/GCP, Airflow (Cloud Composer), PostgreSQL/AlloyDB, OpenMetadata, and CI/CD with GitHub, Jenkins, Flyway, and Terraform.
Senior Data Engineer on the AI Markets team builds and optimizes a low-latency analytics and reporting platform over high-volume market data, developing KDB+/q processes, APIs, and aggregation layers for traders, quants, and AI/ML use cases; core stack includes KDB+, Python/Bash, Linux, Git, and CI/CD, with hybrid work in Kraków.
A hands-on data engineer who builds and maintains ELT/ETL pipelines into Snowflake, designs scalable data models for reporting and analytics, and contributes to the end-to-end data platform using dbt, Airflow, SQL, Python, and AI-assisted tools like Claude and Cursor.
Senior Data Engineer (2 openings) building and running data pipelines in Dataiku DSS — ETL/ELT, data transformation/validation, and ML model work — for a UAE client's migration to a Data Lakehouse. 100% remote from Poland, long-term contract; requires senior Dataiku DSS experience and fluent English.
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.
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.
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.
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