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# Data Engineering Lead - Data & AI Tools

- **Company:** Statista GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Cloud Engineering, Information Engineering, Python (Programming Language), DataOps, Software Engineering, Workflow Management Systems, Large Language Models, Prompt Engineering, Generative AI, Backend, Git, Containerization, AI Platforms, Data Delivery, Software Version Control, Data Pipelines, Docker
- **Published:** July 22, 2026
- **Apply:** https://www.adzuna.de/details/5526228384

## About the Role

* 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.
 * Exposure to product management and ability to work within the team to define a prioritized roadmap.
 * 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.

## 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.
 * Drive the product evolution collaborating with stakeholders while fostering 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.


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