Data Engineer - Tracking Infrastructure (m/f/d)

Uncover; Deutschland; Hybrid; EUR 75.000 - 110.000; Vollzeit

Benefits dieser Stelle

Work from abroad up to 30 calendar + 1

Hybrid work and flex-time

International team and social events

Subsidized urban mobility and fitness

Free access to Langdock

Career & training opportunities

Modern offices

Mental health support with OpenUp

Zusammenfassung

Statista seeks a data engineer to own and scale tracking data infrastructure, capturing millions of user events daily. You will operate, improve, and scale data systems for reliable, cost-efficient analytics.

Apply hands-on with Python, SQL, Airflow, Prefect, and AWS to deliver robust data pipelines and documentation for engineering and analytics teams across the organization.

Qualifikationen

• 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.

Aufgaben

• 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.

Kenntnisse

Python

SQL

Airflow

Prefect

Data pipelines

AWS

Snowflake

CI/CD

GitHub Actions

Terraform

Tools

GitHub Actions

Snowflake

Terraform

Jobbeschreibung

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.Are you ready to join us?

About the role

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 SQLImprove data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases)Support the shift toward streaming and modern analytics use casesCollaborate with engineering teams (data producers) and analytics teams (data consumers)Enable internal users by making data reliable, well‑documented, and easy to use

Your profile

Experience in data engineering within cloud environments (AWS preferred)Strong skills in Python and SQLHands‑on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIsFamiliarity 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 scalableYou improve data reliability, usability, and cost efficiencyYou collaborate effectively with both technical and non‑technical stakeholdersYou bring structure to evolving systems while staying flexible in a dynamic environment

What we offer

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:

• Work from abroad up to 30 calendar days a year
• Hybrid work and flex‑time
• International team and social events
• Subsidized urban mobility and access to fitness and wellness options
• Free access to Langdock and all its amazing functionalities
• Career & training opportunities
• Attractive locations and modern offices
• Mental health support with OpenUp

Some of the benefits listed here apply only to the German entity and to Junior‑level roles or above.