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Senior Data Modelling Engineer
1 month ago
Where: India (fully remote)
Business Hours: UK hours
Process:
1. ICS 1st Interview (30 minutes)
2. CV shared with client, followed by 1-2 further rounds
Context of work:
- The client is a global energy company undergoing a significant transformation to support the energy transition. We work within their Customers & Products (C&P) division, serving both B2C and B2B customers across key markets such as the UK, US, Germany, Spain, and Poland.
- This business unit includes mobility (fuel and EV), convenience retail, and loyalty.
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.
Key Responsibilities
Data Modelling
- 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 finalise the Data Model (DM).
- Obtain email confirmation and approval for the finalised DM.
- Perform data modelling using ER Studio and STTM.
- Generate DDL scripts for data engineers to facilitate implementation.
Data Engineering
- 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 the pipeline and use standard tools for testing.
- Code formatting and linting.
- Collaborate with other Modelling Engineers to align on the correct approach.
- Update existing pipelines for CZ tables (e.g., Serverless Data Lake Framework (SDLF)) 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.
Other
- 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 Analysts and Virtual Engineers (VE) to refine and enhance semantic modelling in Power BI.
- Plan out work using Microsoft Azure, ADO. Dependencies, status and effort are correctly reflected.
