Tech jobs
Job listings
Senior Data Engineer @ DS STREAM
Build and scale a cloud-based Data Hub using Azure Databricks, PySpark, and Medallion Architecture to integrate, process, and stream large data volumes for enterprise clients.
Data Engineer Technical Leader (Relocation to Poland)
Lead a team to design and build scalable data pipelines and platforms using Spark/Scala, Airflow, and cloud tools, while mentoring engineers and ensuring regulatory compliance.
Lead Azure Data Engineer with Databricks
Lead a team to design and build scalable Azure data pipelines and warehouses using Databricks, PySpark, and SQL to process large datasets for enterprise clients.
Data Engineer (Krakow/Wroclaw/Warsaw, Poland)
Build and maintain data pipelines and distributed systems in Python, using Spark, Databricks, and Snowflake to deliver AI and analytics solutions for clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Senior Data Engineer | Hybrid, Databricks & Data Platform
Design and maintain data architectures, ETL pipelines, data warehouses, and data lakes using Databricks, Snowflake, Python, and SQL for Erste Bank Polska’s analytics solutions.
Senior Data Engineer - Databricks/Azure Data Platform
Build and optimize a modern data platform on Databricks and Azure, designing scalable ETL/ELT pipelines and integrating data from Delta Tables and Event Hub using Python and PySpark.
Senior Data Engineer: Big Data & Cloud Analytics
Builds and optimizes big-data pipelines using Spark, Azure, and Databricks to deliver analytics and dashboards in Power BI for a global product team.
Senior Data Engineer — Databricks, Data Vault & Analytics
Senior Data Engineer builds and maintains a Databricks-based data platform for regulatory reporting, transforming legacy warehouses and creating end-to-end analytics pipelines.
Remote Junior Data Engineer | Cloud & Data Lake
Builds and optimizes cloud data lakes and pipelines using Databricks and CI/CD, ensuring data quality and documentation for analytics.
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.
Data Engineer — Azure & Fabric Data Platform
Builds and maintains Azure-based data pipelines using Microsoft Fabric, Data Lake, and Databricks to transform raw data into insights across finance, manufacturing, and sales.
Security Data Engineer - Azure Data & Automation
Design and maintain Azure-based data pipelines for security analytics, using Data Factory, Databricks, and DevOps practices to ingest and process data across multi-cloud environments.
Junior Data Engineer (Data & AI Factory)
Build and maintain scalable data pipelines and cloud data platforms for banking clients, using Spark, Scala, and cloud services to deliver clean, governed data for analytics and AI.
Senior Data Engineer - Full remote
Senior Data Engineer builds and maintains a secure cloud data platform using Azure, Databricks, and Synapse, designing pipelines and models to deliver analytics and reporting for a Geneva-based institution.
Mid/Senior Data Engineer (Databricks)
Build and maintain scalable data pipelines and lakehouse architectures on Databricks, using SQL, Python, and dbt to deliver clean, governed data for clients in finance, government, and healthcare.
Senior Data Engineer @ GFT Poland
Design and build cloud-based data pipelines and warehouses using GCP, BigQuery, dbt, Airflow and Trino to enable analytics and reporting for business teams.
Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines for ETL/ELT, orchestrating data flows between Azure SQL/Synapse and other sources while optimizing performance and collaborating with stakeholders.
Principal Data Engineer @ GFT Poland
Design and optimize cloud-based data platforms using Python, Spark, and SQL to enable advanced analytics and reporting for enterprise clients.