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.
Skills Required
- 4-7 years of experience in Azure data engineering
- Experience with Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI
- Experience migrating on-premises data warehouses to Azure cloud data platforms
- Experience designing data engineering, ingestion, and transformation solutions using Azure Data Factory and Databricks
- Experience building Python-based APIs with Azure Function Apps and using Azure Logic Apps
- Experience implementing Lakehouse or data warehouse architectures, relational and dimensional models, and big data technologies
- Experience building CI/CD pipelines for Azure data services using Azure DevOps
- Experience working with Azure Key Vault, service principals, managed identities, data masking, and encryption
- Exposure to the full software development lifecycle, including testing and deployment
- Excellent communication and ability to gather requirements and resolve business queries
- Graduate or postgraduate degree, preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related discipline
- Microsoft Azure certification
- Knowledge of Apigee API Management
M&G Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&G and has not been reviewed or approved by M&G.
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Retirement Support — Pension support in the UK is presented as notably generous versus typical market norms and is positioned as a core part of total reward. Formal materials also highlight share plans and financial‑wellbeing tools alongside pension value.
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Leave & Time Off Breadth — Annual leave in the UK is described as substantially above statutory norms with the option to purchase additional days. Additional flexibility is referenced through policies such as “Time Off When You Need It.”
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Parental & Family Support — Parental policies (e.g., “Inspiring Families”) are characterized as extensive, including long fully paid leave and phased return‑to‑work support. External recognition is cited as reinforcing family support as a distinctive element of the package.
M&G Insights
What We Do
M&G plc is a leading international savings and investments business, managing money for around 4.6 million individual clients and more than 900 institutional clients in 38 offices worldwide. As at 31 December 2023, we had £343.5 billion of assets under management and administration. Our purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, M&G plc has a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions. Our three distinct operating segments, Asset Management, Life and Wealth, work together to provide access to balanced, long-term investment and savings solutions.
