Job Description

About M&G India

We are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.

Our teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.

Grounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.

About M&G

Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.

Our two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.

Through 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.

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.

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.

We are looking to expand the in-house expertise in Data Technology and we need talented and skilled colleagues to implement data engineering solutions using latest technologies available in Azure Cloud space conforming to the best in class design standard & agreed requirements

Accountabilities/Responsibilities

• Build and operationalize data solutions for business using Azure services in combination with custom solutions – Azure Data Factory, Azure Data Flows, Azure Databricks, Azure Data Lake Gen 2, Azure SQL etc
• 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
• Proficient in Py-Spark
• Experience in building Python based APIs on Azure Function Apps
• Experience on Azure Logic apps
• Experience in Lakehouse/Datawarehouse implementation using modern data platform architecture
• Capacity Planning and Performance Tuning on ADF & Databricks pipelines
• 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
• Understanding of data masking, encryption and other practices used in handling sensitive data
• 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
• Develop Azure Data skills within the team through knowledge sharing sessions, articles, etc.
• Adherence to organisations Risk & Controls requirements
• Participate in various initiatives/forums/groups and contribute effectively from idea creation to proto-type development. Support Strategic programs
• Good to have knowledge on Apigee (Googles API Management)

Key Stakeholder Management

Internal

Business Teams

Project Manager

Tech Lead

Data Scientists

External

Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills:

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

Experience:

• Overall 4-7 years of experience in Azure Data Engineering

Educational Qualification:

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

Microsoft Azure certification (good to have)

M&G Behaviours relevant to all roles:

Tell it like it is

Own it Now

Move it forward together

with care and integrity

We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.