Statista
(Junior) Data Engineer(m/w/x)
Full-timeWith HomeofficeJunior
Hamburg, Berlin
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STStatista
Data Engineer - Data Platform(m/w/x)
Hamburg
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and operating scalable batch pipelines and ELTs/ETLs for a global business data platform. 2+ years of data engineering experience with Python and SQL required. Work from abroad for 30 days/year, hybrid work, and flex-time.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field
- 2+ years in data engineering building production pipelines and platforms
- Developing ELT/ETL processes and data automation using Python and SQL
- Proficiency in workflow orchestration, containerization, and version control tools
- Good understanding of data modelling and architecture
- Strong interest in best practices
- Knowledge in dlt, dbt, Snowflake, infrastructure as code, and software development best practices
- Hands-on experience in cloud services and infrastructure
Tasks
- Design and operate scalable batch pipelines
- Ensure data quality, security, and cost efficiency
- Develop and optimize ELTs/ETLs for data integration
- Enhance data management in the data lake and other systems
- Develop reliable data orchestration workflows
- Support the ranking creation process
- Drive cross-functional collaboration with engineering, data science, and analysis teams
- Deliver documented, reproducible datasets
- Power rankings, KPIs, and business decisions
- Monitor and optimize data infrastructure
- Ensure high availability, performance, and security
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Airflow
- Docker
- git
- dbt
- Snowflake
- AWS
- S3
- Glue
- Athena
- ECS
- RDS
Benefits
Workation & Sabbatical
- Work from abroad (30 days/year)
Flexible Working
- Hybrid work
- Flex-time
Team Events
- International team 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
Data Engineer - Data Platform(m/w/x)
Hamburg
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Designing and operating scalable batch pipelines and ELTs/ETLs for a global business data platform. 2+ years of data engineering experience with Python and SQL required. Work from abroad for 30 days/year, hybrid work, and flex-time.
Requirements
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field
- 2+ years in data engineering building production pipelines and platforms
- Developing ELT/ETL processes and data automation using Python and SQL
- Proficiency in workflow orchestration, containerization, and version control tools
- Good understanding of data modelling and architecture
- Strong interest in best practices
- Knowledge in dlt, dbt, Snowflake, infrastructure as code, and software development best practices
- Hands-on experience in cloud services and infrastructure
Tasks
- Design and operate scalable batch pipelines
- Ensure data quality, security, and cost efficiency
- Develop and optimize ELTs/ETLs for data integration
- Enhance data management in the data lake and other systems
- Develop reliable data orchestration workflows
- Support the ranking creation process
- Drive cross-functional collaboration with engineering, data science, and analysis teams
- Deliver documented, reproducible datasets
- Power rankings, KPIs, and business decisions
- Monitor and optimize data infrastructure
- Ensure high availability, performance, and security
Work Experience
- 2 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- Apache Airflow
- Docker
- git
- dbt
- Snowflake
- AWS
- S3
- Glue
- Athena
- ECS
- RDS
Benefits
Workation & Sabbatical
- Work from abroad (30 days/year)
Flexible Working
- Hybrid work
- Flex-time
Team Events
- International team 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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.
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