Statista

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

Hamburg or Berlin FullTime Hybrid
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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: - 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.

Frequently Asked Questions

What does the (Senior) Data Engineer - Tracking Infrastructure (m/f/d) role at Statista involve?

The (Senior) Data Engineer - Tracking Infrastructure (m/f/d) position at Statista in Hamburg or Berlin is a fulltime role. 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.

What skills are required for (Senior) Data Engineer - Tracking Infrastructure (m/f/d) at Statista?

Key skills for this role include: Python, Scala, AWS, Terraform, CI/CD, Github Actions, S3, SQL, Snowflake, Airflow.

What is the salary for (Senior) Data Engineer - Tracking Infrastructure (m/f/d) at Statista?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the (Senior) Data Engineer - Tracking Infrastructure (m/f/d) position at Statista remote or on-site?

This position is Hybrid. Expect a combination of office and remote work, typically based in Hamburg or Berlin.

How do I apply for (Senior) Data Engineer - Tracking Infrastructure (m/f/d) at Statista?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

(Senior) Data Engineer - Tracking Infrastructure (m/f/d) at Statista is a fulltime devops & cloud position in Hamburg or Berlin. Key skills include Python, Scala, AWS, Terraform, CI/CD, Github Actions, S3, SQL. Education: Master's Degree preferred. Experience: 5+ years.

This role is classified as hybrid and is suitable for senior-level professionals. Ghost Score 25/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.