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Senior Data Engineer designing, building, and maintaining enterprise data and AI platforms primarily using Microsoft Fabric, Azure, and Azure AI services — including data pipelines, Lakehouse solutions, and Generative AI/RAG applications.
Data Engineer maintaining ETL processes, monitoring data pipelines, and handling incident support on a 24/7 on-call basis using SQL Server, Snowflake, Power BI, and Azure Data Factory.
Senior Data Engineer at Outokumpu in Katowice designing, building and maintaining scalable data pipelines using Azure, Databricks, PySpark and SQL, with a focus on lakehouse architectures and AI initiatives.
Data engineer building and maintaining data pipelines for subsurface and drilling data (seismic, wells, geomodels) using Python and SQL, enabling AI/ML workflows on an agile data platform team.
Data Engineer building and integrating data pipelines using Microsoft Fabric, Azure Synapse, and Python/PySpark, with a focus on data quality validation and collaboration with risk teams in a hybrid role.
Manager-level Data Engineer developing and maintaining data ingestion pipelines for an AI Data Marketplace platform using Azure Data Factory and Databricks in a hybrid role in Warsaw.
Design and implement Databricks data processing pipelines in Python across cloud platforms (AWS, Azure, or GCP), ensuring data quality, security, and scalability for client projects.
Senior AI Data Engineer building autonomous data workflows, LLM-based AI solutions, production data pipelines, and scalable reporting for a telehealth platform in Warsaw.
Junior Data Engineer designing and implementing data processing pipelines, automating data flows, and optimizing ETL processes in SQL and Python for a major fashion retail group's in-house tech unit.
Senior Data Engineer designing, developing, and maintaining cloud data pipelines and platforms using AWS/GCP/Azure, Apache Airflow, Databricks, and SQL/Python/Scala.
Data Engineer building GCP data pipelines and BigQuery models, orchestrating ETL with Airflow/Cloud Composer, and working with Terraform for IaC in a hybrid-remote role in Poland.
Data Engineer designing and maintaining scalable batch and real-time data pipelines with Spark and Kafka, building data warehouses with Hive/SQL, and enforcing data governance in a cloud-native environment.
Senior Data Engineer working 100% remotely in Poland on a mature Azure Databricks-based Data Hub using Medallion Architecture, Unity Catalog, and Spark Structured Streaming.
Lead Data Engineer designing and maintaining cloud data processing platforms, building batch and streaming pipelines, and integrating data from various sources using SQL, Python/Scala, cloud platforms, and Apache Airflow.
Data Engineer building and maintaining data pipelines on Databricks and Azure, optimizing ETL/ELT processes, and collaborating with Data Scientists and Analysts to deliver data solutions for the national airline.
Design and maintain scalable batch and real-time data pipelines on AWS using Python, SQL, dbt, Kafka, Spark, and Airflow while managing cloud infrastructure like S3, Glue, Lambda, and Redshift.
Data Engineer building batch and streaming data pipelines and analytics platforms on GCP (BigQuery, Dataflow, Composer, DBT) using Python and SQL for a banking project.
Build and maintain HR data pipelines in Microsoft Fabric following Medallion architecture, processing people analytics data for reporting and working with engineering teams and business stakeholders. Core tech: SQL, Python/PySpark, Microsoft Fabric.
Senior Data Engineer owning end-to-end data initiatives to enable AI use cases, designing ELT pipelines from Azure Blob Storage into Snowflake and building dbt transformation models with Python orchestration.
Senior full-stack engineer building scalable Node.js/React systems end-to-end, owning features from API design to delivery within a remote-first engineer community.
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