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Big Data Engineer IV
Design and build large-scale data pipelines and warehouses for a high-traffic ad exchange, processing over 1 PB of daily events with Java/Scala/Python, Spark, BigQuery, and GCP.
Big Data Engineer IV
Build and optimize large-scale data pipelines and warehouses for a digital ad exchange handling billions of daily requests, using Java/Scala/Python, Spark, BigQuery, and GCP.
Senior Big Data Engineer
Senior Big Data Engineer builds and maintains scalable data pipelines using Scala, Spark, and Kubernetes to process large datasets and generate reports for enterprise clients.
Senior Data Engineer (Fulfillment)
Senior Data Engineer builds and scales data pipelines for Tesco’s fulfillment operations, optimizing order and delivery data to improve logistics and delivery efficiency using Spark, Hive, and Airflow.
Senior Data Engineer - Cloud Platform & Pipelines (Hybrid)
Designs and maintains cloud-based data pipelines and warehouses on GCP, using Python, SQL, and Spark to enable data-driven decisions.
Data Engineer (Azure Data Platform)
Design and implement Microsoft Fabric and Azure-based data pipelines, ETL/ELT processes, and AI-driven analytics solutions for enterprise clients.
Data Engineer (Azure Data Platform)
Build and optimize Azure Data Factory/Synapse pipelines and Microsoft Fabric solutions, integrating AI-powered analytics and Power BI models to deliver business insights for clients.
Data Engineer: Real-Time Pipelines & Scalable Analytics
Senior data engineer builds and maintains real-time data pipelines and scalable analytics for regulatory reporting using SQL, Python, Databricks, Spark, and Delta Lake.
Senior Big Data Engineer: Spark, Scala & Pipelines
Builds and maintains scalable big-data pipelines using Spark, Hadoop, and Elasticsearch to process financial crime and fraud data for a global bank.
Lead Data Engineer (Poland)
Lead a team building and maintaining a distributed data platform and AI self-service portal using Azure, Databricks, Spark, and Python to power legal decision insights.
Data Engineer @ GFT Poland
Design and build cloud and on-premise data pipelines, warehouses, and transformations using Python, SQL, and GCP tools like BigQuery, dbt, Airflow, and Trino.
Senior Data Engineer Krakow
Build and maintain scalable ETL/ELT pipelines in AWS/Azure/GCP using Python, Spark, and SQL to power analytics and ML for global clients.
Senior Data Engineer(Databricks)
Design and build large-scale data pipelines on Databricks using Python and cloud-native tools, ensuring secure, scalable data processing for downstream systems and reports.
Senior Big Data Engineer
Builds and optimizes large-scale data pipelines using Scala, Spark, Kafka, and Airflow to process massive datasets for global stakeholders in the mobile app ecosystem.
Data Engineer( Microsoft Fabric)
Build and maintain Microsoft Fabric pipelines and data models using PySpark and Spark SQL, following medallion architecture to deliver scalable analytics solutions.
Senior Data Engineer room
Build and maintain data pipelines, warehouses, and lakes using Oracle, PostgreSQL, BigQuery, Kafka, and Python to feed analytics and reporting systems.
Data Engineer, Market Intelligence
Build and maintain big-data pipelines and cloud infrastructure to process compliance-approved alternative datasets for investment research using Python, Spark/Scala, and visualization tools.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Senior Data Engineer
Senior Data Engineer builds and maintains ETL/ELT pipelines, data models, and quality checks using AWS, Spark, Python, and Databricks to deliver clean data for analytics and ML teams.
Junior Data Engineer
Build and maintain ETL pipelines using Spark/Scala to move and transform data between systems, ensuring quality and integration with microservices in a hybrid Warsaw role.