Data Modeller

At The Institute of Clever Stuff (ICS), we don't just solve problemswe revolutionise results. Our mission is to empower a new generation of Future Makers today, to revolutionise results and create a better tomorrow. Our vision is to pioneer a better future together. We are a consulting firm with a difference, powered by AI, driving world-leading results from data and change.

We partner with visionary organisations to solve their toughest challenges, drive transformation, and deliver high-impact results. We combine a diverse network of data professionals, designers, software developers, and rebel consultants alongside our virtual AI consultant, fortu.ai, who combine human ingenuity with fortu.ai's AI-powered intelligence to deliver smarter, faster and more effective results.

Meet fortu.ai

• Used by some of the world's leading organisations as a business question pipeline generator, ROI tracker, and innovation engine all in one.
• Trained on 400+ accelerators and 8 years of solving complex problems with global organisations.
• With fortu.ai, we're disrupting a $300+ billion industry, turning traditional consulting on its head.

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 SME's 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:

• 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.