SAP Datasphere and SQL Developer

We are seeking a SAP Datasphere & SQL Developer with 4-6 years of experience in data warehousing or SAP analytics environments. The role requires hands-on experience with SAP Datasphere, strong SQL knowledge and a sound understanding of data modelling, dimensional modelling and data integration. You will independently interpret requirements, develop appropriate technical solutions and collaborate effectively with cross-functional teams.

What you'll do:

• Develop data solutions using SAP Datasphere.
• Design and work with SAP Datasphere views, data flows, transformations and connections.
• Develop and optimise SQL-based solutions to support data and analytics requirements.
• Apply data warehousing and dimensional modelling concepts when developing solutions.
• Support data integration activities across relevant systems and data sources.
• Independently understand requirements and translate them into technical solutions.
• Analyse and resolve data and technical challenges using structured problem-solving approaches.
• Collaborate and communicate effectively with cross-functional teams.

Who you are:

• You have 4-6 years of experience in data warehousing or SAP analytics environments.
• You have hands-on experience with SAP Datasphere.
• You understand SAP Datasphere data modelling concepts, including views, data flows, transformations and connections.
• You have strong hands-on knowledge of SQL.
• You understand data warehousing, dimensional modelling and data integration concepts.
• Experience with an ETL or data integration tool would be beneficial.
• You demonstrate effective analytical and problem-solving skills.
• You can independently understand business or technical requirements and develop appropriate solutions.
• You communicate effectively and work collaboratively with cross-functional teams.

What skills you will learn:

• Advanced SAP Datasphere data modelling capabilities.
• SQL development and optimisation skills.
• Practical experience with views, data flows, transformations and connections.
• Data warehousing and dimensional modelling expertise.
• Data integration and ETL-related capabilities.
• Requirement analysis, technical solution design and cross-functional collaboration skills.