Senior Engineer - Data

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited). We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns.

M&G Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in M&G plc’s ambition to be the best loved and most successful savings and investments company in the world.

Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI & Insights), Business Transformation, Management Consulting & Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk & Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.

M&G plc now have a new Finance and Actuarial Data Solution, known as FADS, responsible for the ingestion, transformation and output provision for the majority of Finance Data. These processes encompass a vast number of actuarial modelling and accounting ledger, reporting/MI and regulatory processes (Solvency II, IFRS17 etc). FADS is the main ETL system for these processes.

As the Technical lead of the FADS Support Team, you will work within M&G plc Corporate Functions IT. This team is responsible for delivering application support, development and management of the Microsoft Azure cloud application suite.

The team will support the newly delivered applications and perform day 2 development activities, driving high quality, efficiently designed applications. They will also be responsible and act as key SMEs for any planned future growth of the use of the system.

Accountabilities/Responsibilities

• Act as technical and data SME/Analyst of the process and systems, and work with business to ensure requirements (Run and Change) are understood by the service teams Experience in migrating on-premise data warehouses to data platforms on AZURE cloud
• Designing and implementing data engineering, ingestion and transformation functions using ADF, Databricks
• Good to have knowledge in Lakehouse/Datawarehouse implementation using modern data platform architecture
• Support data visualization development using Power BI
• Exposure across all the SDLC process, including testing and deployment
• Experience in relational and dimensional modelling, including big data technologies
• Experience in Azure DevOps – Build CI/CD pipelines for ADF, ADLS, Databricks, Azure SQL DB etc
• Experience of working in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities
• Good to have knowledge on Apigee (Googles API Management)
• Ability to interact with Business for requirement gathering and query resolutions
• Working on off shore office based development teams, collaborating within a team environment and participating in typical project lifecycle activities such as requirement analysis, testing and release
• Adherence to organisations Risk & Controls requirements
• Should have skills for Stakeholder management, process adherence, planning & documentations
  
  

• UK Finance Accounting
• UK Finance Actuarial
• UK Corporate Functions technology
  
  

• Software Suppliers
• External Consultants
  
  

• Azure Data Factory,
• Azure Data Lake Storage V2
• Azure SQL
• Azure DataBricks
• Pyspark
• Azure DevOps
• Power BI Report
• Confidence & excellent communication
  
  

• Overall 3-5 years of experience in Azure Data Engineering
  
  

• Graduate/Post-graduate. Preferably with specialisation in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline
  
  

• Tell it like it is: Respectfully speaking up to create better ways forward - both direct and empathetic
• Own it now: Putting your name on things with confidence to drive progress and results quickly
• Move it forward together: Forming cross-functional teams to seize the right opportunities and solve real problems