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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.
Hybrid Spark Backend Engineer — Data Pipelines & SQL
Builds and maintains data pipelines using Apache Spark and SQL to process financial market data in a hybrid Warsaw role.
Junior Data Engineer
Builds and optimizes cloud-based data pipelines in Databricks and Azure, using Python, SQL, and Spark to process structured and unstructured data for global clients.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines in Azure Data Factory, SQL Server, and Databricks, ensuring high-quality, reliable data workflows for financial markets infrastructure.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Data Engineering Manager
Lead a team of data engineers to design and build scalable data platforms using SQL, Python, Spark, and cloud services (AWS/Azure) in a hybrid Warsaw role.
Senior Data Engineer
Designs and maintains scalable data pipelines using Python/Scala, Spark, and SQL on Azure/Databricks to support analytics and reporting.
Data Engineer(Pyspark)
Build and maintain PySpark-based data pipelines that process large datasets in distributed environments, ensuring data quality and performance for downstream systems.
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.
Senior Data Engineer
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Junior Data Engineer
Build and maintain data pipelines using Azure/Databricks, write SQL queries, and process data with Python for analytics and reporting.
Senior Spark/Scala Data Engineer — Lead Pipelines (Hybrid)
Leads and builds scalable data pipelines using Spark and Scala for a consulting firm, optimizing workflows and mentoring teams in a hybrid Warsaw office.
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.
ML Data Engineer (Junior/Mid) — LLM Pipelines & AI Data
Builds and maintains data pipelines for AI solutions using Python, Spark, and ETL tools while collaborating with senior engineers on innovative AI technologies.
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.