The AI Job Search Engine
Data Engineering Lead - Data & AI Tools(m/w/x)
Description
In this role, you will lead a team of Data and AI engineers, driving the development of innovative solutions while mentoring the team. The focus will be on enhancing workflows, aligning projects with organizational goals, and staying ahead of industry trends.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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
- StatistaFull-timeWith HomeofficeManagementHamburg, Berlin
- Statista
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Data Engineering Lead - Data & AI Tools(m/w/x)
The AI Job Search Engine
Description
In this role, you will lead a team of Data and AI engineers, driving the development of innovative solutions while mentoring the team. The focus will be on enhancing workflows, aligning projects with organizational goals, and staying ahead of industry trends.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
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.
- Statista
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Full-timeWith HomeofficeExperiencedHamburg, Berlin, Köln, Düsseldorf, Gütersloh, München