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Senior/Lead Data Engineer responsible for end-to-end data architecture, cloud-native pipeline development (primarily Azure stack), and mentoring engineers, working 2 days in-office in Warsaw.
Design, build and maintain scalable data pipelines using Azure, Databricks, PySpark and SQL, modernizing enterprise data platforms for a sustainable stainless steel manufacturer.
Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data…
Senior Cloud Data Engineer on a fixed-term engagement designing ETL pipelines, implementing Databricks migrations, and ensuring data quality/security on AWS for a client's online platform.
Own the end-to-end ML lifecycle on Azure and Databricks—orchestrating pipelines from ingest through deploy and monitor—while collaborating with applied scientists to keep models reliable in production.
Medior Data Engineer building a central Azure-based data platform (Databricks, Delta Lake, Power BI) for CCMO, a Dutch government medical-research oversight body. Day-to-day work involves building and maintaining data pipelines with Python, SQL, and PySpark across technologies like Microsoft Fabric, Azure Data Factory, and Azure Synapse.
Build and evolve a cloud-based data platform for a financial client's Transaction Banking team in Amsterdam, designing scalable data pipelines and ETL/ELT processes using Azure Databricks, PySpark, Python, and SQL.
Data Engineer at a consulting firm building and maintaining ETL pipelines and cloud-based data lakes, primarily on AWS (Glue, S3, Athena, Lake Formation) and Databricks/Delta Lake, using Python and SQL.
Lead/Senior Data Engineer designing and managing enterprise-scale data platforms across Azure and AWS, building ETL/ELT pipelines, lakehouse architectures, and Snowflake data warehouses using Databricks, Delta Lake, PySpark, and SQL.
Data Engineer (Azure Databricks Developer) with 7+ years experience designing and maintaining scalable data pipelines using Azure Databricks, developing ETL/ELT processes, building Spark-based applications, and ensuring data security and governance.
Senior Data Engineer on a remote contract within Canada, building and maintaining scalable data pipelines, ETL/ELT workflows, data models, and Power BI dashboards for the Government of Alberta's Digital Design and Delivery division using Python, SQL, PySpark, and cloud platforms (Azure, Databricks, Microsoft Fabric).
Senior Data Architect at a supply-chain SaaS platform, responsible for designing enterprise data models, building scalable ETL/ELT pipelines, and translating complex customer ERP data into canonical supply-chain datasets using SQL, Python, and cloud lakehouse technologies.
Lead Databricks Data Engineer to own data engineering workstream of a large-scale predictive analytics programme, architecting and leading production-grade data pipelines on Databricks, integrating SAP and Oracle systems into a governed lakehouse, and leading a small engineering team.
Lead Data Engineer overseeing enterprise-scale ETL and data modernization projects, architecting pipelines with Python, PySpark, Informatica, Databricks, Snowflake, ADF, and AWS Glue while mentoring a team of data engineers.
Databricks Data Engineering Architect defines and drives Databricks architecture and strategy, takes end-to-end ownership of Databricks solutions from design through implementation, and works with technologies like Databricks, Spark, Delta Lake, SQL, Python/PySpark, and Lakeflow.
Architect and build dimensional and Lakehouse data models, plus robust ETL/ELT pipelines, using Databricks or Snowflake, PySpark, SQL, and Azure/AWS cloud services.
Azure Data Engineer building ETL/ELT pipelines and data warehousing solutions using Azure Databricks, Data Factory, Synapse Analytics, and Spark technologies.
Lead Data Engineer at IndusInd Bank in Mumbai, architecting and building a cloud-native Azure Databricks data platform with PySpark, leading a team of data engineers and analysts to deliver scalable lakehouse architectures and BI solutions.
Lead Data Engineer building end-to-end data platforms using Medallion architecture, dbt, Python, and cloud services (AWS/GCP/Azure) for client engagements, with hands-on coding, architectural decisions, and mentoring responsibilities.
Tech Lead / SDE IV owning batch and real-time data pipelines for a programmatic advertising DSP, processing billions of bid-stream events daily with Kafka, Flink, StarRocks, and Python/Java/Scala, while also architecting backend microservices and mentoring engineers.
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