Job
- Level
- Experienced
- Location
- Hamburg
- Working Model
- Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop cloud-based data warehouse solutions in Azure, optimize ETL processes using SQL and R/Python, and automate CI/CD pipelines for data analysis and decision-making.
Job Technologies
Your role in the team
- Continuous development of our fully cloud-based Data Warehouse architecture in Microsoft Azure through our own ideas and new perspectives.
- Close collaboration with the business units to develop practical, data-driven solutions.
- Development and optimization of efficient ETL processes with SQL across the entire data value chain.
- Analysis of data as well as the creation of evaluations, models, and data solutions using SQL, R, and/or Python to support professional and strategic decisions.
- Automation of build, test, and deployment processes via CI/CD pipelines with GitHub Actions and YAML-based workflows.
- Responsible use of modern AI technologies to optimize development and analysis processes.
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Our expectations of you
Qualifications
- Excellent knowledge of (T-)SQL as well as R and/or Python.
- Interest in modern technologies, e.g., Agentic Coding.
- Industry knowledge in finance or insurance is an advantage.
- Analytical thinking and structured working approach.
- Self-initiative and sense of responsibility.
- Very good German skills (at least C1).
- Strong communication skills and enthusiasm for cross-team collaboration.
- Creativity, design skills, and team spirit.
Experience
- Experience in ETL processes and ideally Azure Data Factory (ADF).
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What we offer
- Long-term employment in a very secure and economically strong company.
- Top onboarding with personal support and structured onboarding process.
- Attractive compensation package including outstanding retirement benefits, numerous perks such as a subsidy for the Deutschlandticket, corporate benefits (employee shopping portal), bike leasing, partnership with EGYM Wellpass, as well as additional sports and health offerings (PME Family Service).
- Motivating environment and independent team organization.
- Plenty of room for development and further training.
- Short decision-making paths.
- Flexible working hours model as well as work-life balance.
- State-of-the-art working environment in Hamburg's HafenCity.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Hamburger Pensionsverwaltung eG
Die Hamburger Pensionsverwaltung eG (HPV) bewirbt und betreut die betriebliche Altersvorsorge für rund 2.000 Mitgliedsunternehmen. Als Social-Profit-Dienstleister arbeiten wir ohne eigenes Gewinninteresse und haben uns der Zufriedenheit unserer Mitgliedsunternehmen sowie deren Arbeitnehmern und Rentnern verpflichtet.
Description
- Founding Year
- 1994
- Company Type
- Established Company
- Working Model
- Onsite
- Industry
- Banking, Finance, Insurance
Data Engineer
- Location
- Hamburg
- Working Model
- Onsite
- Diversity
- Open for all genders
