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

Statista

Germany (OH)

Hybrid

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Work from abroad up to 30 days a year

Hybrid work and flex-time

International team and social events

Subsidised urban mobility

Career & training opportunities

Mental health support

Job summary

Statista is seeking a Data Engineer to join our growing data team in the United States. In this role, you will take ownership of tracking data infrastructure, focusing on the operational aspects and optimization of data systems. Candidates should have strong skills in Python and SQL, with experience in cloud environments, particularly AWS, and familiarity with tools such as Airflow. Benefits include hybrid work options and opportunities for career development.

Qualifications

Experience in data engineering within cloud environments (AWS preferred).
Strong skills in Python and SQL.
Hands-on experience with data pipelines, orchestration tools, and APIs.

Responsibilities

Own and manage tracking data pipelines and infrastructure.
Ensure data quality, governance, and cost control.
Build and optimize ELT pipelines using Python and SQL.

Skills

Data engineering

Python

SQL

Airflow

AWS

Data governance

Data quality

Infrastructure as code

Tools

Snowflake

Terraform

GitHub Actions

Job description

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 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

Your profile

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

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: