Senior Data Engineer (MSSQL) with Data Lakehouse Perspective

About the job

• Optimisation of the existing on premise Data Warehouse as a basis for the later migration
• Technical implementation of the migration from a Data Warehouse to an on premise Data Lakehouse architecture
• Operation, monitoring and further development of the Data Lakehouse after initial setup
• Preparation and provision of data for BI to AI use cases
• Contribution and establishment of best practices around Data Warehouse and Data Engineering as well as – ideally – Data Lakehouse
• Consulting and support of business departments on questions regarding data processing and provision as well as promotion of data literacy within the company

• Degree in (business) computer science, data engineering or a comparable qualification
• Proven, several years of experience in building and operating on premise Data Warehouse solutions, ideally also Data Lakehouse solutions
• Solid experience in developing data pipelines as well as with data modelling and relational database technologies, especially MSSQL
• Very good SQL skills and ideally also Talend knowledge
• Understanding of data architecture, data governance and data quality management
• Knowledge of SAP S/4HANA data structures and logic
• Ability to communicate technical matters clearly to non-technical stakeholders
• Structured, quality- and solution-oriented working style as well as a high degree of reliability and independence
• Confident communication in German, both spoken and written; good English skills are a plus

About 3000 employees of RUAG and RUAG Real Estate make a significant contribution to the security of Switzerland every day. They ensure that the Swiss Army as well as other operational and security organisations can fully perform their tasks at all times.

• Degree in (business) computer science, data engineering or a comparable qualification
• Proven, several years of experience in building and operating on premise Data Warehouse solutions, ideally also Data Lakehouse solutions
• Solid experience in developing data pipelines as well as with data modelling and relational database technologies, especially MSSQL
• Very good SQL skills and ideally also Talend knowledge
• Understanding of data architecture, data governance and data quality management
• Knowledge of SAP S/4HANA data structures and logic
• Ability to communicate technical matters clearly to non-technical stakeholders
• Structured, quality- and solution-oriented working style as well as a high degree of reliability and independence
• Confident communication in German, both spoken and written; good English skills are a plus

• Optimisation of the existing on premise Data Warehouse as a basis for the later migration
• Technical implementation of the migration from a Data Warehouse to an on premise Data Lakehouse architecture
• Operation, monitoring and further development of the Data Lakehouse after initial setup
• Preparation and provision of data for BI to AI use cases
• Contribution and establishment of best practices around Data Warehouse and Data Engineering as well as – ideally – Data Lakehouse
• Consulting and support of business departments on questions regarding data processing and provision as well as promotion of data literacy within the company