Data Engineer (m/f/d)
Statista
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This role on the market
8,048 open data roles across 739 companies are on ApplySarthi right now, most of them in Bengaluru (451), Hyderabad (321), Mumbai (173).
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What data roles keep asking for: Python (30%), AWS (30%), SQL (30%), Machine learning (17%), Spark (13%) — counted across their open postings here.
Data Engineer jobs in Germany · Remote Data Engineer jobs · AWS jobs · Data modelling jobs · Docker jobs · LLMs jobs
Statista has 13 open roles listed here.
- Project Manager (m/f/d)
- Analytics Engineer (m/f/d)
- Graphic Designer - AI-focus (m/f/d)
- B2B Performance Marketing Manager (m/f/d)
- IT Operations Specialist (m/f/d)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to Python, AWS, SQL, Machine learning. Practise those questions before you sit with Statista.
Questions you are likely to be asked
- Why do you want to join Statista?
- What is your experience with AWS? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Data Engineer (m/f/d) at Statista interview free →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. You’ll join our Survey and Modeled Data Tools team , part of Data Engineering within Data Production. We build the tools and platforms behind some of Statista’s core data workflows, helping analysts and researchers turn complex processes into scalable, reliable, and reusable solutions. Our work ranges from developing a shared platform for building and updating modeled market data , used by analysts across markets and industries, to creating tools and data infrastructure that support our global survey workflows . We work closely with analysts, researchers, and other engineering teams, putting our team right at the intersection of data engineering, software development, and real business use cases . You’ll work on a mix of data engineering, backend services, workflow automation, and AI-powered tooling . This means improving systems that are already used in production while also helping us design the next generation of our platform infrastructure. You’ll have the opportunity to take ownership of technical solutions from idea to production and help us make complex data workflows more automated, scalable, and maintainable. 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 Work closely with analysts, stakeholders, and engineers to design, build, and improve modeled data workflows. Build and maintain backend services, data pipelines, AI agents, and workflow orchestration systems. Standardize and consolidate fragmented workflows and standalone tools into a centralized platform. Support, maintain, and continuously improve production-grade internal tools and workflows. Contribute to platform architecture, operational reliability, and the continuous automation and optimization of analytical workflows. Collaborate with cross-functional teams to translate evolving business and analyst/researcher requirements into practical technical solutions. Your Profile Strong Python skills with experience in backend systems, data pipelines, workflow automation, or internal tooling Hands-on experience developing AI-powered applications using LLMs, AI agents, and modern AI APIs. Solid understanding of SQL, databases, and data modeling concepts Experience with Git and writing clean, maintainable, and well-structured code Familiarity with workflow orchestration and general data engineering concepts Understanding of containerization and cloud environments, such as Docker or AWS, is a plus Ability to thrive in a fast-evolving environment and adapt to changing technologies and business requirements. Structured and thoughtful approach to problem-solving with attention to maintainability and scalability Comfortable collaborating with analysts, engineers, and stakeholders in a cross-functional environment Strong communication skills and fluent English 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. Find Jobs in Germany on Arbeitnow
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Listed on arbeitnow · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Statista, not by us.