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Data Engineer - Tracking Infrastructure(m/w/x)
Building and optimizing ELT pipelines with Python and SQL for tracking infrastructure. Cloud data engineering experience, including AWS and Snowflake, required. Hybrid work with flexible hours and 30 days/year work from abroad.
Requirements
- Data engineering in cloud environments (AWS preferred)
- Strong Python and SQL skills
- Data pipelines, orchestration tools (Airflow, Prefect), and APIs experience
- Familiarity with large-scale data systems and event-based data
- Snowflake (or similar DWH) experience
- Infrastructure as code (Terraform) and CI/CD (GitHub Actions) knowledge
- Understanding of data architecture, testing, and best practices
- DBT, streaming tools, or BI tools experience (bonus)
Tasks
- Manage tracking data pipelines and infrastructure
- Ensure data quality and governance
- Control data costs through retention and storage optimization
- Build and optimize ELT pipelines using Python and SQL
- Improve data ingestion and orchestration
- Support the transition to streaming and modern analytics
- Collaborate with engineering and analytics teams
- Enable internal users by making data reliable and easy to use
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Python
- SQL
- Airflow
- Prefect
- APIs
- Snowflake
- Terraform
- GitHub Actions
- DBT
- BI tools
Benefits
Flexible Working
- Hybrid work
- Flexible work hours
Workation & Sabbatical
- Work from abroad up to 30 days/year
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
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Data Engineer - Tracking Infrastructure(m/w/x)
Building and optimizing ELT pipelines with Python and SQL for tracking infrastructure. Cloud data engineering experience, including AWS and Snowflake, required. Hybrid work with flexible hours and 30 days/year work from abroad.
Requirements
- Data engineering in cloud environments (AWS preferred)
- Strong Python and SQL skills
- Data pipelines, orchestration tools (Airflow, Prefect), and APIs experience
- Familiarity with large-scale data systems and event-based data
- Snowflake (or similar DWH) experience
- Infrastructure as code (Terraform) and CI/CD (GitHub Actions) knowledge
- Understanding of data architecture, testing, and best practices
- DBT, streaming tools, or BI tools experience (bonus)
Tasks
- Manage tracking data pipelines and infrastructure
- Ensure data quality and governance
- Control data costs through retention and storage optimization
- Build and optimize ELT pipelines using Python and SQL
- Improve data ingestion and orchestration
- Support the transition to streaming and modern analytics
- Collaborate with engineering and analytics teams
- Enable internal users by making data reliable and easy to use
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Python
- SQL
- Airflow
- Prefect
- APIs
- Snowflake
- Terraform
- GitHub Actions
- DBT
- BI tools
Benefits
Flexible Working
- Hybrid work
- Flexible work hours
Workation & Sabbatical
- Work from abroad up to 30 days/year
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
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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