Tech jobs
Job listings
Data Engineer
Build and maintain scalable data pipelines and cloud data warehouses (Snowflake, AWS) using ETL/ELT tools (Matillion) to support analytics and AI/ML workflows.
Databricks Data Engineer - ETL & Pipelines
Builds and optimizes scalable ETL/ELT pipelines in Databricks, translating data requirements into robust data solutions while ensuring quality and governance.
Senior Data Engineer: Azure Data Migration & Platform Lead
Leads migration of enterprise data from IBM DB2 to Azure SQL, designs ETL/ELT pipelines, and builds a scalable cloud data platform with data quality validation.
Snowflake Data Engineer - Build Scalable Data Pipelines
Designs, builds, and optimizes Snowflake-based data pipelines to transform raw data into scalable analytics solutions for business decision-making.
Snowflake Data Engineer
Design and optimize Snowflake data pipelines, ETL/ELT processes, and data warehouses for a financial-services innovator, collaborating with analysts and scientists to deliver high-quality data solutions.
Data Engineer
Senior Data Engineer leads DB2-to-Azure SQL migrations, builds ETL/ELT pipelines, and ensures data quality for a cloud-based platform.
Data Engineer
Build and optimize Azure-based data pipelines and analytics solutions using Synapse, Databricks, and Power BI to ingest, transform, and deliver business insights.
Senior Data Engineer
Design and build scalable cloud data pipelines and integrations to power analytics and reporting for NSW transport systems using AWS, Databricks, Python and SQL.
Data Engineer
Build and maintain scalable data pipelines on Azure and Databricks to deliver clean, reliable energy data for reporting and analytics across a European green-energy retailer.
Data Engineer GCP F/H - Système, réseaux, données
Design, build, and maintain scalable GCP-based data pipelines (ETL/ELT) using BigQuery, Airflow, Terraform, and Python to deliver reliable, secure data for analytics.
Data Engineer F/H - Système, réseaux, données
Build and maintain data pipelines on Azure, Fabric, and Databricks using PySpark, Python, and SQL to deliver analytics and BI solutions for enterprise clients.
Cloud Data Engineer Snowflake / AWS (H/F)
Builds and optimizes Snowflake/AWS data pipelines, automates ETL/ELT workflows, and ensures data quality/governance while deploying cloud infrastructure with Terraform and CI/CD tools like GitLab/GitHub Actions.
Data Engineer - Manager/Specialist
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.
DATA ENGINEER
Data Analyst bridging business needs and data engineering teams, designing data models and pipelines in PostgreSQL, Airflow, dbt, and Kafka to ensure reliable, real-time data flows for industrial environments.
Senior Data Engineer - future opportunities @ Idego Group Sp. z o.o.
Design and build scalable ETL/ELT pipelines in Python, orchestrate workflows with Airflow or Dagster, and model data in Snowflake using dbt for diverse clients in publishing, banking, and healthcare.
Senior Data Engineer - Snowflake & Python Automation @ Belvedere Recruitment
Builds and optimizes Snowflake-based data pipelines with Python and DBT to drive retail analytics, while migrating RBAC roles and mentoring junior engineers in a hybrid Warsaw office.
Senior Data Engineer (Databricks) @ Spyrosoft
About the role We are looking for a Senior Data Engineer with strong Databricks experience to build and optimize modern data platforms. You will develop scalable ETL/ELT pipelines, process large datasets and contribute…
AI Engineer
Build, test, and deploy AI agents and tools using Python, LangGraph, and cloud-native services like Azure, while contributing to reusable libraries and scalable AI products.
Data Engineer (Databricks)
Builds and maintains Databricks-based data pipelines for shipment, sell-out, and market share data in Central Europe, using PySpark and SQL to enable analytics for 12+ digital products.
Senior Product Manager
Leads the product roadmap for Clearwater’s cloud-native investment data platform, defining requirements, prioritizing features, and collaborating with engineering to deliver scalable data management solutions for asset managers.