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Data Engineer - Healthcare(m/w/x)
Description
As a Data Engineer on the Healthcare Platform, you will focus on ensuring data reliability and quality while designing scalable pipelines. Your collaboration with analytics and data science teams will make healthcare data accessible and trustworthy for impactful analysis.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
3 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
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
- StatistaFull-timeWith HomeofficeExperiencedHamburg, Berlin
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Data Engineer - Healthcare(m/w/x)
The AI Job Search Engine
Description
As a Data Engineer on the Healthcare Platform, you will focus on ensuring data reliability and quality while designing scalable pipelines. Your collaboration with analytics and data science teams will make healthcare data accessible and trustworthy for impactful analysis.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
Work Experience
3 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
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
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.
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