Riverty Group Norway AS
10115 Berlin - Deutschland
Data Engineer
Arbeit
Vollzeit
ab 27.01.2026
Beschreibung
Data Engineer (m/f/d) - Azure Salary: 60000 - 90000 EUR per year. At Riverty Group Norway AS we are looking for a Data engineer! Our tech stack: Airflow, Azure, Big Data, CI/CD, Cloud, Databricks, DevOps, ETL, Git, Mobile, Python, SQL. Requirements: - Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a focus on cloud-native platforms.
- Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, ... weiter lesen
- 5+ years of experience in data engineering, with a focus on cloud-native platforms.
- Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, ... weiter lesen
Data Engineer (m/f/d) - Azure Salary: 60000 - 90000 EUR per year. At Riverty Group Norway AS we are looking for a Data engineer! Our tech stack: Airflow, Azure, Big Data, CI/CD, Cloud, Databricks, DevOps, ETL, Git, Mobile, Python, SQL. Requirements: - Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a focus on cloud-native platforms.
- Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python.
- Familiarity with DevOps workflows (e.g., Git, Azure DevOps) and orchestration tools like Airflow.
- Solid understanding of data warehousing, data modeling, and modern data architecture.
- Strong communication skills and the ability to work cross-functionally with business and technical stakeholders.
- A proactive mindset, capable of owning outcomes and navigating ambiguity.. Your responsibilities are: - Design and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, Azure Data Lake, and other modern tools.
- Create analytical data models and structures optimized for performance and usability.
- Drive best practices in data engineering, including CI/CD with Azure DevOps, Git workflows, testing, and monitoring.
- Integrate workflows and orchestration using Airflow and other tools as needed.
- Troubleshoot, monitor, and improve data quality, pipeline reliability, and job performance across distributed systems.
- Work with stakeholders to understand data requirements and deliver scalable, maintainable solutions.
- Stay on top of trends in cloud data platforms, open-source frameworks, and engineering practices.. Category: Data Developer / Engineer Location address: Neumarktgasse 16, Berlin, Germany. Salary: 60000 - 90000 EUR per year. Riverty Group Norway AS - More about us and the role:At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic, and user-friendly to empower financial growth for everyone. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance. We are looking for a (Senior) Data Engineer to join our team in Berlin with hybrid working conditions available, offering a variety of benefits including the opportunity to work from home, exclusive discounts, flexible working hours, and support for professional development and health programs. last updated 4 week of 2026
- 5+ years of experience in data engineering, with a focus on cloud-native platforms.
- Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake, SQL, and Python.
- Familiarity with DevOps workflows (e.g., Git, Azure DevOps) and orchestration tools like Airflow.
- Solid understanding of data warehousing, data modeling, and modern data architecture.
- Strong communication skills and the ability to work cross-functionally with business and technical stakeholders.
- A proactive mindset, capable of owning outcomes and navigating ambiguity.. Your responsibilities are: - Design and implement scalable ETL/ELT pipelines in a lakehouse architecture using Databricks, Azure Data Factory, Azure Data Lake, and other modern tools.
- Create analytical data models and structures optimized for performance and usability.
- Drive best practices in data engineering, including CI/CD with Azure DevOps, Git workflows, testing, and monitoring.
- Integrate workflows and orchestration using Airflow and other tools as needed.
- Troubleshoot, monitor, and improve data quality, pipeline reliability, and job performance across distributed systems.
- Work with stakeholders to understand data requirements and deliver scalable, maintainable solutions.
- Stay on top of trends in cloud data platforms, open-source frameworks, and engineering practices.. Category: Data Developer / Engineer Location address: Neumarktgasse 16, Berlin, Germany. Salary: 60000 - 90000 EUR per year. Riverty Group Norway AS - More about us and the role:At Riverty, we believe that everyone should be in control of their own financial situation. Our shared commitment is to make financial solutions more innovative, empathetic, and user-friendly to empower financial growth for everyone. We create an environment where you can evolve personally and benefit from our flexible working conditions and work-life balance. We are looking for a (Senior) Data Engineer to join our team in Berlin with hybrid working conditions available, offering a variety of benefits including the opportunity to work from home, exclusive discounts, flexible working hours, and support for professional development and health programs. last updated 4 week of 2026
Ref-Nr.: 8956067
Aktualisiert:
27.01.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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