Data Engineering Lead - Data & AI Tools

Statista GmbH
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Computing
Information Engineering
Python
DataOps
Software Engineering
Prompt Engineering
GIT
Containerization
Data Delivery
Software Version Control
Data Pipelines
Docker
Microservices

Job description

  • 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.

Requirements

  • 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.

About the company

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., 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 * 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.   You must create an Indeed account before continuing to the company website to apply

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