Statista
Analytics Engineer - Healthcare(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Hamburg, Berlin
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STStatista
Data Engineer - Healthcare(m/w/x)
Hamburg, Berlin
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- SQL
- Prefect
- Airflow
- Amazon Web Services (AWS)
- Snowflake
- S3
- EC2
- ECS
- Terraform
Benefits
Flexibles Arbeiten
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events & Ausflüge
- International team and social events
Moderne Technikausstattung
- Free access to Perplexity Enterprise
Karriere- und Weiterentwicklung
- Career & training opportunities
Modernes Büro
- Attractive locations and modern offices
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Statista erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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STStatista
Data Engineer - Healthcare(m/w/x)
Hamburg, Berlin
Vollzeitmit HomeofficeBerufserfahren
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 3 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- SQL
- Prefect
- Airflow
- Amazon Web Services (AWS)
- Snowflake
- S3
- EC2
- ECS
- Terraform
Benefits
Flexibles Arbeiten
- Hybrid work and flex-time
Workation & Sabbatical
- Work from abroad 10 days a year
Team Events & Ausflüge
- International team and social events
Moderne Technikausstattung
- Free access to Perplexity Enterprise
Karriere- und Weiterentwicklung
- Career & training opportunities
Modernes Büro
- Attractive locations and modern offices
Mentale Gesundheitsförderung
- Mental health support
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Statista erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Statista
Branche
Healthcare
Beschreibung
The company is the world's leading business data platform, providing reliable data and analytics products to empower fact-based decisions.
Noch nicht perfekt?
- Statista
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Vollzeitmit HomeofficeKeine AngabeHamburg - Statista
Data Ops Engineer - Insights Automation(m/w/x)
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