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Data Engineering Lead - Data & AI Tools(m/w/x)
Leading a team building automation frameworks and agentic workflows at a global business data platform. 5+ years in Data Engineering/Ops/Software Engineering, strong Python, and AWS/Airflow/Docker experience required. Work from abroad 10 days/year, free Perplexity Enterprise access.
Requirements
- 5+ years of experience in Data Engineering, Data Operations, or Software Engineering
- Strong Python skills
- 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
- Excellent English communication skills
- Passion for innovation and building autonomous AI tools
Tasks
- Lead and mentor a team of Data and AI engineers
- Set objectives and review code for team projects
- Drive the development of advanced Data and AI solutions
- Create automation frameworks and agentic workflows
- Enhance data research and complex forecasting
- Design and maintain scalable cloud infrastructure for AI services
- Identify automation opportunities and streamline workflows
- Collaborate with stakeholders to align AI solutions with goals
- Integrate state-of-the-art methods and tools into projects
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Apache Airflow
- Docker
- git
Benefits
Flexible Working
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events
- International team and social events
Other Benefits
- Free access to Perplexity Enterprise
Learning & Development
- Career & training opportunities
Modern Office
- Attractive locations and modern offices
Mental Health Support
- Mental health support
Not a perfect match?
- StatistaFull-timeWith HomeofficeManagementHamburg, Berlin
- Statista
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Data Engineering Lead - Data & AI Tools(m/w/x)
Leading a team building automation frameworks and agentic workflows at a global business data platform. 5+ years in Data Engineering/Ops/Software Engineering, strong Python, and AWS/Airflow/Docker experience required. Work from abroad 10 days/year, free Perplexity Enterprise access.
Requirements
- 5+ years of experience in Data Engineering, Data Operations, or Software Engineering
- Strong Python skills
- 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
- Excellent English communication skills
- Passion for innovation and building autonomous AI tools
Tasks
- Lead and mentor a team of Data and AI engineers
- Set objectives and review code for team projects
- Drive the development of advanced Data and AI solutions
- Create automation frameworks and agentic workflows
- Enhance data research and complex forecasting
- Design and maintain scalable cloud infrastructure for AI services
- Identify automation opportunities and streamline workflows
- Collaborate with stakeholders to align AI solutions with goals
- Integrate state-of-the-art methods and tools into projects
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
- Apache Airflow
- Docker
- git
Benefits
Flexible Working
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events
- International team and social events
Other Benefits
- Free access to Perplexity Enterprise
Learning & Development
- Career & training opportunities
Modern Office
- Attractive locations and modern offices
Mental Health Support
- Mental health support
About the Company
Statista
Industry
IT
Description
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
Not a perfect match?
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