Data Engineering Lead Data & AI Tools (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

Your Tasks

• Lead and mentor a team of Data and AI engineers setting objectives reviewing code and fostering professional growth.
• Drive the end-to-end development of advanced Data and AI-powered solutions including automation frameworks and agentic workflows to enhance data research complex forecasting and decision-making
• Design deploy and maintain scalable cloud infrastructure for AI services and APIs.
• Identify automation opportunities streamline workflows and continuously improve processes across the company.
• Collaborate with stakeholders to align AI solutions with organizational goals and high-value data delivery.
• Stay ahead of AI and automation trends integrating state-of-the-art methods and tools into team projects.

Your Profile

• 5 years of experience in Data Engineering Data Operations or Software Engineering with a proven track record of leading technical teams.
• Strong Python skills in building scalable data pipelines automation and backend services.
• Experience with cloud infrastructure (AWS preferred : ECS EC2 EKS S3 Lambda) workflow orchestration (Apache Airflow) containerization (Docker) and version control (git).
• Deep understanding of AI principles : foundation models retrieval-augmented generation (RAG) prompt engineering evaluation metrics and trade-offs between different AI approaches.
• Excellent English communication skills able to lead cross-functional teams coordinate stakeholders and influence technical decisions.
• Passion for innovation building autonomous AI tools agent networks and scalable AI solutions in a high-growth 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 Perplexity Enterprise 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.

Key Skills

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• NoSQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1