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The Senior Data Engineer will design and maintain a core data platform for an asset management firm, focusing on building data pipelines, dbt models, and a FastAPI backend.
Data Engineer building and maintaining scalable ETL/ELT data pipelines for a financial sector client, integrating ERP, HR, and finance systems using Databricks, Snowflake, and Azure Data Platform.
Data Engineer responsible for planning, developing, and maintaining cloud data environments for clients, focusing on Azure Data Factory and Databricks pipelines.
Designs and implements data platforms—data lakes, warehouses, and ETL/ELT pipelines using Python and Spark—for industrial and manufacturing clients, handling the full cycle from requirements gathering through architecture to production deployment.
Data Engineer designing and operating scalable real-time and batch data pipelines and microservices for a cloud-based risk platform, using Java, REST APIs, and DevOps practices.
Builds and maintains data pipelines and warehouses on Azure, using Spark, SQL, and ETL tools to enable analytics and reporting.
Builds and maintains data pipelines, optimizes SQL queries, and ensures data accuracy in Teradata environments for analytics and reporting.
Designs and maintains scalable data pipelines on GCP/BigQuery, collaborating with teams to transform raw data into actionable insights. Core tools: Airflow, Terraform, and CI/CD pipelines.
Senior Data Engineer in Warsaw designing and building end-to-end ELT pipelines from Azure Blob Storage into Snowflake, developing dbt models and Python scripts with a focus on data quality and scalable analytics.
Data Engineer leading the design and delivery of modern data platforms and analytics solutions using Microsoft Fabric, Databricks, and the Azure ecosystem, with a focus on lakehouse architectures and medallion design patterns.
Data Engineer on a financial-industry project building scalable data ingestion, ETL/ELT pipelines and analysis-ready datasets using Databricks, Snowflake, SQL, Python, PySpark, and Azure Data Platform.
Data Engineer building and maintaining scalable ETL/ELT data pipelines and lakehouse solutions for a financial services client, using Python, SQL, PySpark, Databricks, and Azure cloud services in a hybrid role from Wrocław/Poznań.
Data Engineer at Reply Polska designing batch/streaming data pipelines and ETL/ELT processes using Python/Java/Scala, Spark, SQL, and AWS, with hybrid work in Katowice and travel to a client in Lisbon.
Data Engineer designing and maintaining ETL/ELT data flows, modeling data with dbt and SQL on Google Cloud Platform/BigQuery, and building visualizations with Lightdash/Looker to support Growth, Marketing, Product, and Finance teams.
The Data Engineer will design and optimize scalable cloud data pipelines and manage migrations to Google BigQuery. The role involves collaborating with cross-functional teams to deliver production-ready data products for BI and reporting.
The Data Engineer will design and implement batch and streaming data pipelines within Google Cloud Platform. The role involves integrating systems and collaborating with data analysts and architects using tools like BigQuery, Dataflow, and Airflow.
The Data Engineer will design, build, and maintain end-to-end data pipelines for the financial services sector using Python, SQL, PySpark, and Azure Databricks. The role involves data integration and quality assurance within a cloud-based environment.
Data engineer designing, building, and maintaining scalable BigQuery data pipelines for migration projects, focusing on data quality, orchestration, and delivering production-grade data products for reporting and analytics.
Builds and migrates AML data pipelines to centralize financial transaction data, optimize ETL processes, and enable compliance-driven analytics for EU clients.
Build and maintain data pipelines using Microsoft Fabric and Azure tools for an insurance-sector client.
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