Statista

Senior Data Platform Engineer (m/f/d)

Hamburg or Berlin, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the 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. Your story matters – keep writing it as part of our team.
Are you ready to join us?

Your Role
Own the platform architecture. Shape and evolve the target architecture across infrastructure utilities, data product experience and federated governance, together with Data Architecture and Product.

Build the Platform-as-a-Product. A standard ingestion framework, roles and permissions, cost monitoring per product and team, and agent/AI readiness.

Make governance computational. Data contracts, quality gates, lineage and policies as code, enforced in the pipeline instead of by review. Monitoring, alerting, SLAs and incident handling.

Deliver data assets to consumers. Standard output ports (API, MCP server, A2A, Kafka events) and a OpenMetaData catalogue for humans and agents.

Work with domain teams and stakeholders. Reference products, onboarding playbook and hands-on support for data domain teams. Bring the technical view into stakeholder discussions.

 
Your Skills
5+ years in data or platform engineering

Hands-on depth in Snowflake and AWS

Built Infrastructure as code and CI/CD for data workloads with Terraform

Built self-serve capabilities other teams use without hand-holding: templates, config-driven onboarding, clear docs, policies as code and cost governance

Data governance in practice: data contracts, quality checks, lineage, access management, data catalogues

Strong communication with non-engineers; comfortable defending architecture decisions in cross-team steering

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.
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Interview prep

Walk in with sharper answers.

Use these suggested prompts to prepare. They are not questions supplied by the employer.

Mid
Technology & IT API integration Data Analysis Sales Writing Mid level full-time

Practice questions

  1. Tell us about work you have done that is close to the Senior Data Platform Engineer (m/f/d) role.
  2. How would you approach your first 30 days at Statista?
  3. Which of API integration, Data Analysis and Sales have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and Sales.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Platform Engineer (m/f/d) role at Statista. My relevant experience is [your example], where I [your action] and achieved [your result].

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