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# (Senior) Data Engineer - Tracking Infrastructure

- **Company:** Statista GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Salary:** €75,000.0 - €91,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Big Data, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integrity, Data Systems, Data Warehousing, Github, Python (Programming Language), Standard Sql, Web Platforms, Cloud Platform System, Data Ingestion, Snowflake, Terraform, Data Pipelines
- **Published:** August 11, 2026
- **Apply:** https://www.xing.com/jobs/berlin-senior-data-engineer-tracking-infrastructure-157069871

## About the Role

* Experience in data engineering within cloud environments (AWS preferred)
 * Strong skills in Python and SQL
 * Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs
 * Familiarity with large-scale data systems and event-based data (tracking, logs, or similar)
 * Experience with Snowflake (or similar DWH)
 * Knowledge of infrastructure as code (Terraform) and CI/CD (GitHub Actions)
 * Understanding of data architecture, testing, and best practices
 * Bonus: experience with DBT, streaming tools, or BI tools

What success looks like

 * You take ownership of a high-volume data domain and keep it stable and scalable
 * You improve data reliability, usability, and cost efficiency
 * You collaborate effectively with both technical and non-technical stakeholders
 * You bring structure to evolving systems while staying flexible in a dynamic environment

## Description

Join a growing data team and take ownership of our tracking data infrastructure, which captures millions of user events across our web platform every day.

You will focus on operating, improving, and scaling existing data systems, ensuring data is reliable, cost-efficient, and accessible for analytics teams.

This is a hands-on role with strong ownership and visibility across engineering and analytics.

What you'll do

 * Own and manage tracking data pipelines and infrastructure (event data, web tracking)
 * Ensure data quality, governance, and cost control (e.g. retention, storage optimization)
 * Build and optimize ELT pipelines using Python and SQL
 * Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases)
 * Support the shift toward streaming and modern analytics use cases
 * Collaborate with engineering teams (data producers) and analytics teams (data consumers)
 * Enable internal users by making data reliable, well-documented, and easy to use


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