Who We Are
We are looking for an experienced Data Platform Engineer with German (Microsoft SQL Server & BI) to join a large-scale telecommunications environment and support the existing RepSaS data landscape. The role has a strong focus on legacy support, operational stability, troubleshooting, and the controlled retirement of existing databases and data solutions. The successful candidate will work with long-established Microsoft SQL Server and BI environments, supporting the analysis, maintenance, consolidation, migration, and decommissioning of databases, ETL pipelines, interfaces, reports, and semantic models.
Who We Are
We are looking for an experienced Data Platform Engineer with German (Microsoft SQL Server & BI) to join a large-scale telecommunications environment and support the existing RepSaS data landscape. The role has a strong focus on legacy support, operational stability, troubleshooting, and the controlled retirement of existing databases and data solutions. The successful candidate will work closely with Product Owners, Solution Design, Operations, business stakeholders, and adjacent data and platform teams to ensure stable operations while progressively reducing legacy dependencies. This is a senior hands-on engineering position requiring strong expertise in Microsoft SQL Server, T-SQL, SSIS, SSAS Tabular Models, and Power BI, as well as the ability to understand complex legacy environments with limited documentation and take technical ownership of operational and retirement activities.
What You'll Be Doing
- Analyze and resolve production incidents, technical issues, and data quality problems within existing RepSaS solutions
- Troubleshoot and maintain T-SQL code, Stored Procedures, Views, Functions, SQL Agent Jobs, and ETL pipelines
- Analyze and optimize SQL queries, database objects, execution plans, indexes, loading processes, and overall database performance
- Maintain, stabilize, and selectively refactor long-established database and reporting logic
- Monitor production environments, perform root-cause analysis, and document bug fixes and workarounds
- Perform technical assessments of existing databases and identify users, dependencies, data flows, interfaces, loading jobs, reports, and semantic models
- Evaluate which database objects and solutions should be maintained, migrated, consolidated, archived, or retired
- Prepare and support controlled database decommissioning activities, including technical checks, documentation, and rollback options
- Support data and logic migrations from RepSaS into agreed target environments
- Maintain and troubleshoot existing Power BI reports and datasets
- Maintain and optimize SSAS Tabular Models, including relationships, measures, processing, and DAX logic
- Validate KPIs, data quality, and functional and technical consistency across reporting solutions
- Analyze report and data dependencies to support migration and retirement decisions
- Document data flows, database objects, interfaces, dependencies, and retirement activities
- Ensure technical knowledge is captured and transferred within the team, particularly for legacy components with limited documentation
What You'll Bring Along
- Several years of hands-on experience developing and supporting Microsoft SQL Server and BI solutions
- Expert-level knowledge of Microsoft SQL Server and SQL Server Management Studio (SSMS)
- Expert-level T-SQL, including complex queries, Stored Procedures, Views, Functions, joins, and troubleshooting
- Strong experience with SQL performance tuning, including execution plans, indexes, query performance analysis, blocking, and resource-intensive queries
- Strong hands-on experience with SSIS and ETL, including maintenance and troubleshooting of existing data loading and transformation pipelines
- Strong experience with SSAS Tabular Models, including semantic models, relationships, measures, processing, and troubleshooting
- Strong experience with Power BI, including reports, datasets, data models, DAX, refresh processes, and permissions
- Strong understanding of relational and dimensional data modeling
- Strong monitoring, troubleshooting, and root-cause analysis capabilities in production environments
- Experience with data lineage and dependency analysis, including tracing sources, targets, jobs, interfaces, and data consumers
- Experience with Git and GitLab for version control, change traceability, and team collaboration
- Experience with SQL Server Agent and job scheduling
- Good knowledge of DAX and existing KPI and measure logic
- Basic scripting and automation experience with PowerShell
- Understanding of CI/CD processes for traceable builds, deployments, and technical quality assurance
- Strong technical documentation skills, particularly related to data flows, dependencies, interfaces, and database retirement activities
- Experience working with legacy production systems, complex dependencies, and environments with limited documentation
- Experience with database consolidation, migration, or controlled decommissioning is highly desirable
- Ability to work effectively with incidents and bug fixes in business-critical environments
- Advanced English and German language skills (spoken and written), with the ability to communicate effectively with technical and business stakeholders across international teams