Statista
Data Engineering Lead - Data & AI Tools(m/w/x)
Vollzeitmit HomeofficeSenior
Hamburg, Berlin
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STStatista
Team Lead Data & AI Engineering(m/w/x)
Hamburg, Berlin
Vollzeitmit HomeofficeManagement
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Apache Airflow
- Docker
- git
Benefits
Flexibles Arbeiten
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad up to 30 days
Team Events & Ausflüge
- International team and social events
Öffi Tickets
- Subsidized urban mobility
Gesundheits- & Fitnessangebote
- Access to fitness and wellness options
Sonstige Vorteile
- Free access to Perplexity Enterprise
Weiterbildungsangebote
- Career and training opportunities
Modernes Büro
- Attractive locations and modern offices
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Statista erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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STStatista
Team Lead Data & AI Engineering(m/w/x)
Hamburg, Berlin
Vollzeitmit HomeofficeManagement
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- AWS
- Apache Airflow
- Docker
- git
Benefits
Flexibles Arbeiten
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad up to 30 days
Team Events & Ausflüge
- International team and social events
Öffi Tickets
- Subsidized urban mobility
Gesundheits- & Fitnessangebote
- Access to fitness and wellness options
Sonstige Vorteile
- Free access to Perplexity Enterprise
Weiterbildungsangebote
- Career and training opportunities
Modernes Büro
- Attractive locations and modern offices
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Statista erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Statista
Branche
IT
Beschreibung
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
Noch nicht perfekt?
- Statista
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