Data Engineer (Python/SQL)

Location: Hybrid work in Hamburg or Berlin, Germany. Work from abroad is permitted for up to 30 calendar days per year.

Company

A global business data platform providing reliable data, analytics products, and services for fact-based decision-making.

What you will do

• Own and manage tracking data pipelines and infrastructure for high-volume event data.
• Build and optimize ELT pipelines using Python and SQL.
• Improve data ingestion and orchestration with Airflow, Prefect, APIs, S3, Iceberg, and databases.
• Ensure data quality, governance, retention, storage optimization, and cost control.
• Support the transition toward streaming and modern analytics use cases.
• Collaborate with engineering and analytics teams to make data reliable, documented, and accessible.

Requirements

• Professional experience in data engineering within cloud environments, preferably AWS.
• Strong Python and SQL skills.
• Hands-on experience with data pipelines, orchestration tools such as Airflow or Prefect, and APIs.
• Experience with large-scale, event-based data such as tracking data or logs.
• Experience with Snowflake or a similar data warehouse.
• Knowledge of Terraform, CI/CD, data architecture, testing, and data engineering best practices.

Nice to have

• Experience with dbt, streaming tools, or BI tools.

Culture & Benefits

• Hybrid work with flexible working hours.
• International team and social events.
• Work from abroad for up to 30 calendar days per year.
• Subsidized urban mobility, fitness and wellness options, and mental health support.
• Career development and training opportunities.
• Modern offices and access to Langdock.