Head of Data Engineering (mfd)

At Statista were all about facts and data for we are the worlds 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

Role Overview & Mission

As Head of Data Engineering you will lead the technical strategy within our Data Production division. This division is the engine behind one of the worlds largest business data platforms. Your primary objective is to build and scale the technical backbone that transforms raw information into structured high-quality data products. You will ensure our data is automated reliable and ready for both customers and AI applications.

Key Responsibilities

• Leadership & Team Structure: Direct a department of approximately 25 engineers through three dedicated team leads. These teams focus on Scaled Data Production (crawling ingestion and structuring data) Internal Tools (building systems for our research and modeling teams) and Architecture (infrastructure databases and taxonomy governance).

• Strategic Direction & Operating Model: Define and own the technical roadmap in an OKR-driven environment. You will set ambitious objectives manage capacity allocation and ensure your teams align with the broader data production strategy while keeping stakeholders informed.

• Technical Excellence: Maintain a hands-on approach to architecture and code quality. You will guide technical standards evaluate engineering trade-offs and conduct code reviews to ensure solutions are clean scalable and practical. You will also drive the adoption of AI capabilities like intelligent data extraction.

• Cross-Functional Alignment: Partner with Product Tech and downstream distribution teams. You need to understand the needs of data-producing teams and ensure the data we create integrates seamlessly into our customer-facing products.

What We Are Looking For

• Experience: 7 years in Data Engineering Data Operations or Software Engineering with a proven track record of leading technical teams at scale.

• Product Mindset: A strong ability to treat data as a product. You genuinely care about who uses the data and how which is fundamentally different from a pure analytics or BI perspective.

• Working Style: A talent for clean simple concepts that have practical impact. You simplify without oversimplifying ensuring your solutions actually work in production.

• Technical Skills: Deep technical proficiency in Python PostgreSQL AWS (ECS EC2 EKS S3 Lambda) Apache Airflow Docker and Git.

• AI Expertise: Practical understanding of AI principles including foundation models retrieval-augmented generation (RAG) prompt engineering and evaluation metrics.

• Communication: Excellent English communication skills to effectively align stakeholders lead cross-functional teams and influence technical decisions.

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.

Required Experience:

Director