Data Lakehouse Engineer / Senior Data Platform Engineer

About the job

• Optimisation of the existing on premise Data Warehouse as a basis for the later migration
• Co-design and 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
• Active participation in the preparation and provision of data for BI to AI use cases
• Contributing and establishing best practices around Data Warehouse, Data Lakehouse and Data Engineering within the team
• Consulting and supporting business departments on questions regarding data processing and provision as well as promoting 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 Data Lakehouse solutions, ideally on premise
• Solid experience in developing data pipelines as well as with relational database technologies, especially MSSQL
• Very good SQL skills and ideally also Talend knowledge
• Sound understanding of data architecture, data modelling as well as data governance and data quality management
• Knowledge of SAP S/4HANA data structures and logic
• Experience working within matrix organisations and ability to communicate technical matters understandably to non-technical stakeholders
• Structured, quality- and solution-oriented working style with a focus on delivery as well as pronounced initiative
• 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 Switzerland's security every day. They ensure that the Swiss Army and other operational and security organisations can always fully perform their tasks.

• Degree in (business) computer science, data engineering or a comparable qualification
• Proven several years of experience in building and operating Data Lakehouse solutions, ideally on premise
• Solid experience in developing data pipelines as well as with relational database technologies, especially MSSQL
• Very good SQL skills and ideally also Talend knowledge
• Sound understanding of data architecture, data modelling as well as data governance and data quality management
• Knowledge of SAP S/4HANA data structures and logic
• Experience working within matrix organisations and ability to communicate technical matters understandably to non-technical stakeholders
• Structured, quality- and solution-oriented working style with a focus on delivery as well as pronounced initiative
• 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
• Co-design and 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
• Active participation in the preparation and provision of data for BI to AI use cases
• Contributing and establishing best practices around Data Warehouse, Data Lakehouse and Data Engineering within the team
• Consulting and supporting business departments on questions regarding data processing and provision as well as promoting data literacy within the company