Statista
Analytics Engineer - Healthcare(m/w/x)
Full-timeWith HomeofficeExperienced
Hamburg, Berlin
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STStatista
Data Engineer - Healthcare(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
Data Science
Nejo AI Summary
Designing and operating scalable batch/streaming pipelines for data ingestion from diverse sources at a global business data platform. Hands-on AWS experience and Python/SQL for data preparation essential. Work from abroad 10 days/year, free Perplexity Enterprise access.
Requirements
- Ability to fetch and prepare data using Python and SQL
- Familiarity with data orchestration tools like Prefect, Airflow
- Familiarity with data ingestion from Files, S3, Iceberg tables, APIs, databases
- Hands-on experience with Amazon Web Services (AWS)
- Knowledge of best practices for data storage, security and scalability on AWS
- Experience with Snowflake, S3, EC2 and ECS
- Implementation of CI/CD pipelines for seamless software development and deployment
- Automation of data workflows, reducing manual effort
- Proficiency in using Terraform to define and provision cloud infrastructure
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field
- 3+ years in data engineering building production pipelines and platforms
- Healthcare domain experience is a plus
- Strong analytical mindset and ability to transform complex data into actionable insights
- Fluent in English, German a plus
- Highly structured, curious, and motivated to work in an international and cross-functional environment
Tasks
- Own data ingestion and platform reliability
- Design and operate scalable batch and streaming pipelines
- Enhance orchestration and ensure data quality
- Maintain data security and cost efficiency
- Develop and optimize ELTs for new data sources
- Improve data management in the data warehouse
- Collaborate with engineering, data science, and analysis teams
- Deliver documented and reproducible datasets for healthcare KPIs
- Support benchmarking and product feature development
- Drive business outcomes through effective data solutions
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Prefect
- Airflow
- Amazon Web Services (AWS)
- Snowflake
- S3
- EC2
- ECS
- Terraform
Benefits
Flexible Working
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events
- International team and social events
Modern Equipment
- Free access to Perplexity Enterprise
Career Advancement
- Career & training opportunities
Modern Office
- Attractive locations and 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 - Healthcare(m/w/x)
Hamburg, Berlin
Full-timeWith Home OfficeExperienced
Data Science
Nejo AI Summary
Designing and operating scalable batch/streaming pipelines for data ingestion from diverse sources at a global business data platform. Hands-on AWS experience and Python/SQL for data preparation essential. Work from abroad 10 days/year, free Perplexity Enterprise access.
Requirements
- Ability to fetch and prepare data using Python and SQL
- Familiarity with data orchestration tools like Prefect, Airflow
- Familiarity with data ingestion from Files, S3, Iceberg tables, APIs, databases
- Hands-on experience with Amazon Web Services (AWS)
- Knowledge of best practices for data storage, security and scalability on AWS
- Experience with Snowflake, S3, EC2 and ECS
- Implementation of CI/CD pipelines for seamless software development and deployment
- Automation of data workflows, reducing manual effort
- Proficiency in using Terraform to define and provision cloud infrastructure
- Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field
- 3+ years in data engineering building production pipelines and platforms
- Healthcare domain experience is a plus
- Strong analytical mindset and ability to transform complex data into actionable insights
- Fluent in English, German a plus
- Highly structured, curious, and motivated to work in an international and cross-functional environment
Tasks
- Own data ingestion and platform reliability
- Design and operate scalable batch and streaming pipelines
- Enhance orchestration and ensure data quality
- Maintain data security and cost efficiency
- Develop and optimize ELTs for new data sources
- Improve data management in the data warehouse
- Collaborate with engineering, data science, and analysis teams
- Deliver documented and reproducible datasets for healthcare KPIs
- Support benchmarking and product feature development
- Drive business outcomes through effective data solutions
Work Experience
- 3 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- Prefect
- Airflow
- Amazon Web Services (AWS)
- Snowflake
- S3
- EC2
- ECS
- Terraform
Benefits
Flexible Working
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events
- International team and social events
Modern Equipment
- Free access to Perplexity Enterprise
Career Advancement
- Career & training opportunities
Modern Office
- Attractive locations and 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
Healthcare
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
Analytics Engineer - Healthcare(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - Unbekannt
Data Engineer(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg - Statista
Data Ops Engineer - Insights Automation(m/w/x)
Full-timeWith HomeofficeExperiencedHamburg, Berlin - Eraneos
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - Statista
Data Engineering Lead - Data & AI Tools(m/w/x)
Full-timeWith HomeofficeSeniorHamburg, Berlin