Senior Data Engineer - Data Architecture (m/f/d)
Hamburg or Berlin
Statista
Find statistics, consumer survey results and industry studies from over 22,500 sources on over 60,000 topics on the internet's leading statistics databaseAt 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?
Your Role
Drive the design and implementation of Statista's next-generation data architecture powering our platform and content ecosystem
Architect and oversee complex data systems including databases, ETL/ELT pipelines, and scalable cloud infrastructure (AWS)
Drive technical decisions for hybrid on-premises and cloud infrastructure, including database optimization and containerization strategies
Mentor junior team members and collaborate strategically with Data Operations, Research, and Product teams
Partner with the Tech division on platform transformation initiatives and lead cross-functional projects that impact business outcomes
Identify opportunities to modernize our data stack and drive adoption of innovative technologies
Your Skills
You have successfully completed studies in the fields of computer science, data science, or a related field with several years of experience in data architecture and engineering roles
Expert-level proficiency in Python and SQL, with deep experience in modern data stack tools (Polars, SQLAlchemy, Alembic, Airflow, FastAPI)
Strong background in cloud architectures (AWS), containerization (Docker), CI/CD practices, and hybrid infrastructure management
Proven track record of evaluating, adopting, and implementing cutting-edge technologies and driving organizational change
Demonstrated ability to independently lead complex projects, mentor team members, and take full ownership of technical solutions from conception to delivery
Exceptional communication skills with ability to translate technical concepts for diverse audiences, influence technical decisions, and drive alignment across teams
Experience identifying systemic inefficiencies, designing process improvements, and implementing solutions that scale across organizations
Bonus: Experience with AI/ML implementation, modern visualization tools (Streamlit, Dash), and enterprise-scale data transformations.
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 10 days a year (up to 30 if your family lives abroad)
Hybrid work and flex-time
International team and social events
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS CI/CD Computer Science Data Analytics DataOps Docker ELT Engineering ETL FastAPI Machine Learning Pipelines Python Research SQL Streamlit
Perks/benefits: Career development Health care Team events
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