Job Overview
Location
Hamburg or Berlin
Job Type
Full-time
Category
Data & Analytics
Date Posted
August 18, 2026
Full Job Description
đź“‹ Description
- • Lead, grow, and enable a high-performing team of Data and AI Engineers that builds the next generation of automation and AI solutions for the company.
- • Set direction, create a culture of excellence and collaboration, and ensure your team delivers reliable, scalable AI systems that matter to the business.
- • Lead, coach, and develop a team of Data and AI Engineers, setting clear goals, running effective 1:1s, and supporting their career growth.
- • Provide technical leadership and guidance: review code, shape architecture decisions, and ensure high engineering standards across the team.
- • Drive the end-to-end delivery of advanced Data and AI-powered solutions, coordinating priorities, timelines, and resources across your team.
- • Design, deploy, and oversee scalable cloud infrastructure for AI services and APIs, ensuring reliability, performance, and cost efficiency.
- • Identify and prioritize automation opportunities with stakeholders, then guide your team to implement solutions that streamline workflows company-wide.
- • Act as the primary point of contact for your area, aligning with product, data, and business leaders to ensure your team focuses on high-impact work.
- • Champion modern AI and automation practices within the team, creating space for experimentation, learning, and adoption of state-of-the-art tools.
🎯 Requirements
- • 5+ years of experience in Data Engineering, Data Operations, or Software Engineering, including proven experience leading and developing technical teams.
- • Strong hands-on Python skills in building scalable data pipelines, automation, and backend services, plus the ability to guide others in these areas.
- • Experience leading teams that operate on 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 how to guide a team in choosing the right approach.
- • Excellent English communication skills, with a track record of leading cross-functional initiatives, aligning stakeholders, and influencing technical decisions.
- • Passion for people leadership and innovation, with energy for building autonomous AI tools, agent networks, and scalable AI solutions in a high-growth environment.
🏖️ Benefits
- • 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
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Statista GmbH
Statista GmbH is a German company that aggregates market and consumer data from over 22,500 sources, providing statistics, forecasts, industry reports and survey results across 170 industries and 150 countries. Its online platform hosts more than one million statistics and 80,000 dossiers, enabling businesses, researchers and media to access quantitative insights through charts, tables and infographics. Founded in 2007 and headquartered in Hamburg, the company also offers Statista R, a research and analysis service for corporate clients, and maintains offices in New York, London and Singapore.
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