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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
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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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