Data Modeller

Key Responsibilities

• Complete Data Modelling Tasks

• Initiate and manage Gap Analysis and Source-to-Target Mapping Exercises.
• Gain a comprehensive understanding of the EA extract.
• Map the SAP source used in EA extracts to the AWS Transform Zone, AWS Conform Zone, and AWS Enrich Zone.
• Develop a matrix view of all Excel/Tableau reports to identify any missing fields or tables from SAP in the Transform Zone.
• Engage with SMEs to finalize the Data Model (DM).
• Obtain email confirmation and approval for the finalized DM.
• Perform data modelling using ER Studio and STTM.
• Generate DDL scripts for data engineers to facilitate implementation.

• Complete Data Engineering Tasks

• Set up infrastructure for pipelines this includes Glue Jobs, crawlers, scheduling, step functions etc.
• Build, deploy, test and run pipelines on demand in lower environments.
• Verify data integrity: no duplicates, all columns in final table etc.
• Write unit tests for methods used in pipeline and use standard tools for testing.
• Code formatting and linting.
• Collaborate with other Modelling Engineers to align on correct approach.
• Update existing pipelines for CZ tables (SDLF and OF) where necessary with new columns if they are required for EZ tables.
• Raise DDP requests to register databases and tables, and to load data into the raw zone.
• Create comprehensive good documentation. Ensure each task is accompanied by detailed notes specific to its functional area for clear tracking and reference.
• Analyse and manage bugs, and change requests raised by business/SMEs.
• Collaborate with Data Analyst and Virtual Engineers (VE) to refine and enhance semantic modelling in Power BI.
• Plan out work using Microsoft Azure, ADO. Dependencies, status and effort is correctly reflected.

Required Skills and Experience:

• Proven experience in

  data modelling and data pipeline development.

• Proficiency with tools like

  ER Studio, STTM, AWS Glue, Redshift & Athena, and Power BI.

• Strong SQL and experience with generating DDL scripts.

• Experience working in

  SAP data environments.

• Experience

  in

  any of these domain areas is highly desirable: Logistics, Supply Planning, Exports and IFOT.

• Familiarity with cloud platforms, particularly AWS.

• Hands-on experience with DevOps and Agile methodologies (e.g., Azure ADO).

• Strong communication and documentation skills.
• Ability to work collaboratively with cross-functional teams