Statista
Data Engineering Lead - Data & AI Tools(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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STStatista
Team Lead Data & AI Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
Leading Data & AI Engineers for a business data platform, with code review and architecture decisions. 5+ years Data Engineering and cloud team leadership (AWS preferred) required. Work from abroad up to 30 days, subsidized urban mobility.
Requirements
- 5+ years of experience in Data Engineering, Data Operations, or Software Engineering
- Strong hands-on Python skills
- Experience leading teams on cloud infrastructure (AWS preferred: ECS, EC2, EKS, S3, Lambda)
- Experience with workflow orchestration (Apache Airflow)
- Experience with containerization (Docker)
- Experience with version control (git)
- Deep understanding of AI principles
- Excellent English communication skills
- Passion for people leadership and innovation
Tasks
- Lead and develop a high-performing team of Data and AI Engineers
- Set clear goals and conduct effective 1:1 meetings
- Provide technical leadership and guidance
- Review code and shape architecture decisions
- Ensure high engineering standards across the team
- Drive end-to-end delivery of advanced Data and AI solutions
- Coordinate priorities, timelines, and resources within the team
- Design and deploy scalable cloud infrastructure for AI services
- Oversee performance, reliability, and cost efficiency of AI systems
- Identify and prioritize automation opportunities with stakeholders
- Guide the team in implementing workflow streamlining solutions
- Act as the primary point of contact for product, data, and business leaders
- Align team focus on high-impact work
- Champion modern AI and automation practices
- Create space for experimentation and learning
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 up to 30 days
Team Events
- International team and social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Access to fitness and wellness options
Other Benefits
- Free access to Perplexity Enterprise
Learning & Development
- Career and training opportunities
Modern Office
- Attractive locations and modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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STStatista
Team Lead Data & AI Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeManagement
AI/ML
Data Science
Nejo AI Summary
Leading Data & AI Engineers for a business data platform, with code review and architecture decisions. 5+ years Data Engineering and cloud team leadership (AWS preferred) required. Work from abroad up to 30 days, subsidized urban mobility.
Requirements
- 5+ years of experience in Data Engineering, Data Operations, or Software Engineering
- Strong hands-on Python skills
- Experience leading teams on cloud infrastructure (AWS preferred: ECS, EC2, EKS, S3, Lambda)
- Experience with workflow orchestration (Apache Airflow)
- Experience with containerization (Docker)
- Experience with version control (git)
- Deep understanding of AI principles
- Excellent English communication skills
- Passion for people leadership and innovation
Tasks
- Lead and develop a high-performing team of Data and AI Engineers
- Set clear goals and conduct effective 1:1 meetings
- Provide technical leadership and guidance
- Review code and shape architecture decisions
- Ensure high engineering standards across the team
- Drive end-to-end delivery of advanced Data and AI solutions
- Coordinate priorities, timelines, and resources within the team
- Design and deploy scalable cloud infrastructure for AI services
- Oversee performance, reliability, and cost efficiency of AI systems
- Identify and prioritize automation opportunities with stakeholders
- Guide the team in implementing workflow streamlining solutions
- Act as the primary point of contact for product, data, and business leaders
- Align team focus on high-impact work
- Champion modern AI and automation practices
- Create space for experimentation and learning
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 up to 30 days
Team Events
- International team and social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Access to fitness and wellness options
Other Benefits
- Free access to Perplexity Enterprise
Learning & Development
- Career and training opportunities
Modern Office
- Attractive locations and modern offices
Mental Health Support
- Mental health support
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Statista and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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