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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.
Data Engineer (AWS)
Design and build scalable AWS-based data pipelines and cloud-native architectures to process large datasets, using services like Glue, Redshift, Lambda, and Spark.
Azure Data Engineer
Design and build scalable HR data pipelines on Azure Databricks and ADF, focusing on automation, quality, and observability for employee lifecycle solutions.
Azure Data Engineer
Design and build scalable Azure Databricks and Data Factory pipelines for HR analytics, using Python/Scala and Spark to automate data workflows and ensure quality.
Copy of Data Engineer
Build and maintain scalable ETL pipelines and data models using Spark, Scala, and cloud storage, then deliver clean data to analytics teams via BI tools like Databricks and Power BI.
Senior Data Engineer Gdansk
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Lead Data Engineer
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Azure Data Engineer
Builds and maintains Azure-based data pipelines and products using Databricks, Python, and Spark to process and integrate large datasets for clients.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and models for regulatory reporting in a global investment bank, using Python, SQL, Databricks, Spark, and cloud tech.
senior data engineer
Senior data engineer builds and maintains data pipelines using Databricks, Python, and SQL to support banking analytics and cloud migration at a top Polish bank.
Databricks Data Engineer
Build and maintain large-scale data pipelines on Databricks using Python, PySpark, and cloud-native tools to process and deliver clean data for analytics and AI workloads.
Senior Data Engineer
Build and optimize Data Lake and DWH solutions in GCP, using Python/Rust, Kafka, and BigQuery to power business decisions and integrate data pipelines.
PL - Data Engineer
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Mid Data Engineer
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Data Engineering Lead
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Senior Data Engineer
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
Data Engineer | TMB
Build and maintain data pipelines, ETL processes, and data lakes using GCP, Spark, Kafka, and SQL to ensure reliable data flow for analytics and reporting.
Senior Data Engineer
Builds and maintains scalable data pipelines for an automotive sales client using Azure Databricks, Python, and Synapse/IICS to support business processes and integrations.
TechLead Data Engineering
Lead a team to design and build scalable data pipelines using Spark/Scala, Airflow, and cloud platforms, while mentoring engineers and ensuring regulatory compliance.
Senior Data Engineer
Senior Data Engineer builds scalable pipelines to process billions of market data records for trading systems using Python, SQL, Spark, and Kafka.