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About the role
- Senior Consultant designing and implementing analytics solutions on Azure and Databricks. Working with stakeholders to deliver end-to-end data solutions in an international team.
Responsibilities
- Design and implement scalable data engineering and analytics solutions in Azure and Databricks.
- Translate business and user requirements into technical architecture, concepts, implementation and roadmaps.
- Build and optimize ETL/ELT pipelines for ingestion and transformation of structured and unstructured data into the data lake.
- Develop reusable data models, transformations, and pipelines using Databricks, DBT, and PySpark.
- Optimize performance and reliability with Delta Lake and Databricks SQL.
- Set up and maintain data governance, security, and compliance standards in Azure.
- Provide technical consulting and support to stakeholders, ensuring adoption and best practices.
- Contribute to project scoping, effort estimation, and architecture design.
- Ensure quality through testing, documentation, CI/CD practices, and monitoring.
- Provide application support and collaborate in international teams.
Requirements
- University degree in Computer Science, Data Engineering, Data Science, Business Informatics, or a related field.
- Several years of professional experience as a Data Engineer / Analytics Consultant in an enterprise environment.
- Strong expertise in Azure Cloud Services, including: Azure Data Lake Storage (ADLS Gen2), permissions, architecture, integration.
- Azure SDKs for Python, REST APIs, OAuth2 authentication, Service Principals & Managed Identities.
- (Optional) Azure Data Factory for pipeline orchestration.
- Hands-on experience with Databricks (PySpark, SQL, Delta Lake, workflows).
- Solid knowledge of DBT for modular SQL modelling, testing, and Git-based project management.
- Excellent Python development skills (PySpark, pandas, requests, automation).
- Strong SQL expertise (Databricks SQL, T-SQL, ANSI SQL), including query optimization and performance tuning.
- Understanding of data modelling (Star schema, Snowflake schema), ETL/ELT best practices, and data governance in Azure.
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and testing frameworks (Great Expectations).
- Familiarity with SAP BW and SAP Datasphere is a big plus.
- Strong problem-solving and communication skills, with the ability to work in agile teams and international contexts.
- Excellent written and verbal English skills, good German skills are a plus.
Benefits
- A professional, highly motivated team in a global, modern IT environment.
- Exciting projects with cutting-edge cloud and analytics technologies.
- The opportunity to shape and enhance our central data platform.
Job title
Job type
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Degree requirement
Tech skills
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