We are looking for a
(Senior) Data Engineer (m/f/d)
(unlimited full-time) Join our team at our location in Berlin hybrid working conditions available
Your Mission:
As part of our Data Engineering team youll design build and maintain robust data pipelines using Azure Data Factory Databricks Airflow and other cloud-native tools. Youll shape how we ingest transform and serve data across our organizationpowering analytics reporting and decision-making at scale.
This is a hands-on impact-driven role for someone who enjoys working across big data cloud platforms and data infrastructure. Youll collaborate with product analytics and engineering teams across countries and functions.
What you are expected to do:
- 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.
What you should bring:
- 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.
Required Experience:
IC
We are looking for a(Senior) Data Engineer (m/f/d)(unlimited full-time) Join our team at our location in Berlin hybrid working conditions availableYour Mission:As part of our Data Engineering team youll design build and maintain robust data pipelines using Azure Data Factory Databricks Airflow and ...
We are looking for a
(Senior) Data Engineer (m/f/d)
(unlimited full-time) Join our team at our location in Berlin hybrid working conditions available
Your Mission:
As part of our Data Engineering team youll design build and maintain robust data pipelines using Azure Data Factory Databricks Airflow and other cloud-native tools. Youll shape how we ingest transform and serve data across our organizationpowering analytics reporting and decision-making at scale.
This is a hands-on impact-driven role for someone who enjoys working across big data cloud platforms and data infrastructure. Youll collaborate with product analytics and engineering teams across countries and functions.
What you are expected to do:
- 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.
What you should bring:
- 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.
Required Experience:
IC
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