Statista
Data Engineering Lead - Data & AI Tools(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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STStatista
Head of Data Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Leading technical strategy for data transformation and automation at a global business data platform. Proven track record of leading technical teams at scale required. Work from abroad up to 30 days/year, flex-time.
Requirements
- 7+ years in Data Engineering, Data Operations, or Software Engineering
- Proven track record of leading technical teams at scale
- Strong product mindset for data
- Care for data users and usage
- Talent for clean, simple concepts with practical impact
- Ability to simplify without oversimplifying
- Ensure solutions work in production
- Deep technical proficiency in Python
- Deep technical proficiency in PostgreSQL
- Deep technical proficiency in AWS (ECS, EC2, EKS, S3, Lambda)
- Deep technical proficiency in Apache Airflow
- Deep technical proficiency in Docker
- Deep technical proficiency in Git
- Practical understanding of AI principles
- Understanding of foundation models
- Understanding of retrieval-augmented generation (RAG)
- Understanding of prompt engineering
- Understanding of evaluation metrics
- Excellent English communication skills
- Ability to effectively align stakeholders
- Ability to lead cross-functional teams
- Ability to influence technical decisions
Tasks
- Lead technical strategy for Data Production division
- Build and scale technical backbone for data transformation
- Ensure data automation, reliability, and readiness
- Direct a department of 25 engineers through three team leads
- Manage teams focused on data crawling, ingestion, and structuring
- Oversee development of internal tools for research and modeling
- Guide architecture, infrastructure, and taxonomy governance
- Define and own technical roadmap in OKR-driven environment
- Set ambitious objectives and manage capacity allocation
- Align teams with broader data production strategy
- Inform stakeholders about progress and achievements
- Maintain hands-on approach to architecture and code quality
- Guide technical standards and evaluate engineering trade-offs
- Conduct code reviews for clean, scalable solutions
- Drive adoption of AI capabilities for data extraction
- Partner with Product, Tech, and distribution teams
- Understand and meet needs of data-producing teams
- Ensure seamless integration of data into customer-facing products
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PostgreSQL
- AWS
- ECS
- EC2
- EKS
- S3
- Lambda
- Apache Airflow
- Docker
- Git
Benefits
Workation & Sabbatical
- Work from abroad up to 30 days/year
Flexible Working
- Hybrid work
- Flex-time
Informal Culture
- International team
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.
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STStatista
Head of Data Engineering(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeSenior
Nejo AI Summary
Leading technical strategy for data transformation and automation at a global business data platform. Proven track record of leading technical teams at scale required. Work from abroad up to 30 days/year, flex-time.
Requirements
- 7+ years in Data Engineering, Data Operations, or Software Engineering
- Proven track record of leading technical teams at scale
- Strong product mindset for data
- Care for data users and usage
- Talent for clean, simple concepts with practical impact
- Ability to simplify without oversimplifying
- Ensure solutions work in production
- Deep technical proficiency in Python
- Deep technical proficiency in PostgreSQL
- Deep technical proficiency in AWS (ECS, EC2, EKS, S3, Lambda)
- Deep technical proficiency in Apache Airflow
- Deep technical proficiency in Docker
- Deep technical proficiency in Git
- Practical understanding of AI principles
- Understanding of foundation models
- Understanding of retrieval-augmented generation (RAG)
- Understanding of prompt engineering
- Understanding of evaluation metrics
- Excellent English communication skills
- Ability to effectively align stakeholders
- Ability to lead cross-functional teams
- Ability to influence technical decisions
Tasks
- Lead technical strategy for Data Production division
- Build and scale technical backbone for data transformation
- Ensure data automation, reliability, and readiness
- Direct a department of 25 engineers through three team leads
- Manage teams focused on data crawling, ingestion, and structuring
- Oversee development of internal tools for research and modeling
- Guide architecture, infrastructure, and taxonomy governance
- Define and own technical roadmap in OKR-driven environment
- Set ambitious objectives and manage capacity allocation
- Align teams with broader data production strategy
- Inform stakeholders about progress and achievements
- Maintain hands-on approach to architecture and code quality
- Guide technical standards and evaluate engineering trade-offs
- Conduct code reviews for clean, scalable solutions
- Drive adoption of AI capabilities for data extraction
- Partner with Product, Tech, and distribution teams
- Understand and meet needs of data-producing teams
- Ensure seamless integration of data into customer-facing products
Work Experience
- 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PostgreSQL
- AWS
- ECS
- EC2
- EKS
- S3
- Lambda
- Apache Airflow
- Docker
- Git
Benefits
Workation & Sabbatical
- Work from abroad up to 30 days/year
Flexible Working
- Hybrid work
- Flex-time
Informal Culture
- International team
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?
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