Statista
Head of Data Engineering(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg, Berlin
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STStatista
(Junior) Data Engineer(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeJunior
Nejo AI Summary
Building state-of-the-art data publishing infrastructure and scalable data pipelines for a global business data platform. Python, SQL, and workflow orchestration tools like Airflow and Docker proficiency required. Work from abroad up to 30 days/year, hybrid work, and flex-time.
Requirements
- Comfortable developing ETL and data automation processes using Python
- Proficiency in workflow orchestration, containerization, and version control tools (e.g. Apache Airflow, Docker or git)
- Good command of SQL for data manipulation and querying
- Good understanding of data modelling and architecture, with strong interest in best practices
- Some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
- Excellent spoken and written English skills
Tasks
- Collaborate with data sourcing and architecture teams
- Build state-of-the-art data publishing infrastructure
- Maintain scalable data pipelines
- Develop reliable data orchestration workflows
- Support automated publishing processes
- Analyze processes for optimization and automation
- Monitor data infrastructure performance
- Optimize data infrastructure for high availability
- Ensure data infrastructure security
- Stay updated on AI and automation developments
- Revise and upgrade services and tools
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Apache Airflow
- Docker
- git
- SQL
- AWS
- ECS
- EC2
- RDS
- Infrastructure-as-Code
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
(Junior) Data Engineer(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeJunior
Nejo AI Summary
Building state-of-the-art data publishing infrastructure and scalable data pipelines for a global business data platform. Python, SQL, and workflow orchestration tools like Airflow and Docker proficiency required. Work from abroad up to 30 days/year, hybrid work, and flex-time.
Requirements
- Comfortable developing ETL and data automation processes using Python
- Proficiency in workflow orchestration, containerization, and version control tools (e.g. Apache Airflow, Docker or git)
- Good command of SQL for data manipulation and querying
- Good understanding of data modelling and architecture, with strong interest in best practices
- Some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & RDS); Infrastructure-as-Code is a plus
- Excellent spoken and written English skills
Tasks
- Collaborate with data sourcing and architecture teams
- Build state-of-the-art data publishing infrastructure
- Maintain scalable data pipelines
- Develop reliable data orchestration workflows
- Support automated publishing processes
- Analyze processes for optimization and automation
- Monitor data infrastructure performance
- Optimize data infrastructure for high availability
- Ensure data infrastructure security
- Stay updated on AI and automation developments
- Revise and upgrade services and tools
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Apache Airflow
- Docker
- git
- SQL
- AWS
- ECS
- EC2
- RDS
- Infrastructure-as-Code
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?
- Statista
Head of Data Engineering(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin - Statista
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Senior Data Engineer(m/w/x)
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Data Engineering Lead(m/w/x)
Full-timeWith HomeofficeExperiencedBerlin, Hamburg, Köln - ABOUT YOU
(Senior) Data Engineer - Finance Tech(m/w/x)
Full-timeFreelanceWith HomeofficeExperiencedHamburg