Accountabilities/Responsibilities :

Key accountabilities and responsibilities :

- Assisting or Contributing to the delivery of software that delivers a business outcome and is designed, implemented and tested to the team's standards as per the SDLC for the Data Platform.

- Provide technical assistance in maintaining existing data platform artefacts and infrastructure, carrying out continuous improvement/enhancements, as relevant.

- Providing a quality service and product to customers and stakeholders, further developing skills built through significant practical experience or training.

- Adapting, understanding and following data engineering best practise.

- Demonstrate a ownership and commitment to build efficient / scalable / extensible / robust software/data platform.

- Working within established frameworks and procedures.

- Delivering outcomes that are clearly defined, using discretion over how to achieve them.

- Participating/ assisting development of solutions to the end consumer, being part of a high performing team comprising of requirements gathering, data modelling, data integration, software engineering, testing and release oversight.

- Maintaining strong relationships within the team, key stakeholders across the business and other teams across Asset Management Technology & Change.

Key Stakeholder Management :

- Internal

- All M&G Plc Business Areas

- M&G Plc Support Groups

- External

- Partner(s)/Vendor(s)

- Knowledge, Skills, Experience & Educational Qualification

Knowledge & Skills (Key) :

- Demonstrate software engineering skills with experience in C# and the .Net Framework, basic SQL.

- Fundamental knowledge of software patterns and principles.

- Working with some of the following programming and scripting languages: SQL, Python, Java, PowerShell, JavaScript.

- Working with data on Azure stack, e.g. Azure Data factory pipelines

- Some understanding of DevOps principles and working of CI/CD pipeline.

- Experience in dealing with data sets and how to analyse them.

- Good interpersonal skills, with the ability to communicate clearly and effectively, both written and orally, within a project team.

Knowledge & Skills (Desirable) :

- Experience to financial markets & asset management processes and understand analysis into a wide variety of asset classes and associated analytics (e.g. Equity, Fixed Income, Private Assets etc.)

- Experience in using Databricks for data ingestion or transformation.

Experience :

- 3+ years of total experience in software engineering.

- 2+ years of latest/recent experience in a data engineering role.

- Experience of contributing to the delivery of software in a team that utilises Azure PaaS technologies, security and delivery via Azure DevOps.

- Understanding of delivering change using Agile methodologies.