Statista
Head of Data Engineering(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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STStatista
Engineering Manager - Data & Analytics Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Shaping data strategy and modern data platform development at a global business data platform. 8+ years in Data Engineering leadership, Snowflake, dbt, and AWS expertise required. Hybrid work, 30 days work from abroad.
Requirements
- 8+ years in Data Engineering, Analytics Engineering, or Data Platform leadership
- Proven experience mentoring and growing technical teams
- Expertise in Snowflake, dbt, Power BI, AWS
- Strong Enterprise Data Architecture and System Integration background
- Hands-on cloud infrastructure and Data/DevOps knowledge
- Data Governance and compliance understanding
- Track record designing scalable, maintainable data systems
- Data Mesh experience, AI/ML workflows, real-time architectures, DataOps, distributed systems
Tasks
- Shape data strategy, architecture, and platform vision
- Build and mentor a high-performing team of data professionals
- Foster a collaborative, high-performance engineering culture
- Lead team planning, priorities, and technical development
- Oversee modern data platform, pipelines, and tracking infrastructure development
- Ensure scalable, reliable, and well-governed data systems
- Drive adoption of centralized data platform across the organization
- Define and execute global Data & Analytics strategy aligned with business goals
- Champion AI-powered analytics, intelligent automation, and data standardization
- Enable self-service analytics and data democratization
- Translate needs into solutions by partnering with Engineering, Product, Analytics, and Business teams
- Lead cross-functional data initiatives and roadmap execution
- Align stakeholders in a federated data ownership model
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- Power BI
- AWS
- Fivetran
- Prefect
- Terraform
- Data Mesh
- AI/ML
- DataOps
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad (30 days/year)
Team Events
- International team events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free access to Langdock
Career Advancement
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- 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.
Not a perfect match?
- Statista
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Data Engineering Lead(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Hamburg, Köln
STStatista
Engineering Manager - Data & Analytics Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Shaping data strategy and modern data platform development at a global business data platform. 8+ years in Data Engineering leadership, Snowflake, dbt, and AWS expertise required. Hybrid work, 30 days work from abroad.
Requirements
- 8+ years in Data Engineering, Analytics Engineering, or Data Platform leadership
- Proven experience mentoring and growing technical teams
- Expertise in Snowflake, dbt, Power BI, AWS
- Strong Enterprise Data Architecture and System Integration background
- Hands-on cloud infrastructure and Data/DevOps knowledge
- Data Governance and compliance understanding
- Track record designing scalable, maintainable data systems
- Data Mesh experience, AI/ML workflows, real-time architectures, DataOps, distributed systems
Tasks
- Shape data strategy, architecture, and platform vision
- Build and mentor a high-performing team of data professionals
- Foster a collaborative, high-performance engineering culture
- Lead team planning, priorities, and technical development
- Oversee modern data platform, pipelines, and tracking infrastructure development
- Ensure scalable, reliable, and well-governed data systems
- Drive adoption of centralized data platform across the organization
- Define and execute global Data & Analytics strategy aligned with business goals
- Champion AI-powered analytics, intelligent automation, and data standardization
- Enable self-service analytics and data democratization
- Translate needs into solutions by partnering with Engineering, Product, Analytics, and Business teams
- Lead cross-functional data initiatives and roadmap execution
- Align stakeholders in a federated data ownership model
Work Experience
- 8 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Snowflake
- dbt
- Power BI
- AWS
- Fivetran
- Prefect
- Terraform
- Data Mesh
- AI/ML
- DataOps
Benefits
Flexible Working
- Hybrid work
- Flex-time
Workation & Sabbatical
- Work from abroad (30 days/year)
Team Events
- International team events
- Social events
Public Transport Subsidies
- Subsidized urban mobility
Healthcare & Fitness
- Fitness and wellness options
Other Benefits
- Free access to Langdock
Career Advancement
- Career and training opportunities
Parking & Commuter Benefits
- Attractive locations
Modern Office
- 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?
- Statista
Head of Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - Statista
Manager Data Architecture & Strategy(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - MOIA
Tech Lead - Data and Analytics Engineering(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - plancraft
Data Lead(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - Intermate Media GmbH
Data Engineering Lead(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Hamburg, Köln