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Data Engineer (m/f/d) – Berlin | Hybrid
SGI · Berlin
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Job description
Our client is expanding its Data Engineering team and is looking for an experienced Data Engineer who enjoys building modern cloud-based data platforms.
You'll work on scalable data solutions that support analytics, reporting and AI initiatives while collaborating closely with engineering and business teams.
Your Responsibilities
- Design, develop and maintain scalable data pipelines.
- Build and optimise data models and warehouse solutions.
- Improve data quality, reliability and governance.
- Collaborate with stakeholders to understand business requirements.
- Contribute to automation and engineering best practices.
- Support the continuous improvement of the data platform.
Your Profile
- Around 2–4 years of experience in Data Engineering.
- Strong Python and SQL skills.
- Experience with DBT.
- Knowledge of AWS or another cloud platform.
- Understanding of modern Data Warehouse concepts.
- Experience with Git, CI/CD and Docker.
- Knowledge of Spark, Kubernetes or Scala is an advantage.
- German language skills at C-level and fluent English.
What You Can Expect
- Hybrid working model in Berlin.
- Modern cloud-based technology stack.
- Exposure to AI and advanced analytics projects.
- High level of ownership.
- Excellent learning opportunities.
- Competitive salary and bonus.
- Friendly and collaborative team environment.
If you're interested in this opportunity, please apply directly via LinkedIn or reach out to arrange a confidential conversation.
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