Data Engineer

3 weeks ago


Edinburgh, United Kingdom eFinancialCareers Full time

At M&G our purpose is **to **help people manage and grow their savings and investments, responsibly.** As a business, we are continuing to take steps towards a sustainable future, delivering better long-term solutions for our customers and clientsand identifying new opportunities to make a positive impact for our environment and communities. To help us achieve our vision we're looking for exceptional people who live our values of care and integrity and who can inspire others; embrace change; deliverresults and keep it simple.
We will consider flexible working arrangements for any of our roles and also offer work place accommodations to ensure you have what you need to effectively deliver in your role.
We're looking for a curious and adaptable Data Scientist/Engineer to join the Customer Data & Analytics team at M&G who are excited to help to grow our customers' wealth and improve their world by investing with care. You'll have the opportunity to help driveour Data Science/Engineering agenda, to work with data across our integrated Retail and Savings business and drive business change and impact through your work.
You will have a strong set of technical skills, specifically around SQL, SSIS and Azure technologies and will be working with colleagues in the UK and Mumbai.
- You have experience working in Financial Services/Investments, wealth platform is a bonus.
- You have a solid grounding in SSIS, Python and SQL and are comfortable using them everyday
- You have experience in Azure technologies, particularly SQL DB, Pipelines, Data Factory, Data Bricks and Event Hubs
- You have experience in productionising data science models
- You have experience in working closely with business stakeholders to understand their challenges and propose how data science can provide benefits
- You can explain complex data science and analytics techniques in simple terms that business stakeholders can understand
- You have a solid grounding in leveraging data visualisation technologies to present clear analysis, particularly using Power BI
- What we're doing sounds exciting and you cant wait to explore our data
- You have experience of prioritising work
- You have a solid understanding of agile practices such as Scrum
- You're impact driven and eager to have a real positive impact on the company, products, customers and very importantly your colleagues as well
- You have a self-starter mind-set; you proactively identify issues and opportunities to tackle them without being told to do so
- You're a team player whom your colleagues can rely on

**What you'll do**:

- Work in a multi-disciplinary team to create awesome modern experiences for our staff and clients using a variety of mainly cloud based technologies including:

- Processing data from various parts of the business in many different formats including:

- Microsoft SQL Server & Oracle Databases
- Salesforce
- REST APIs
- Flat files
- Data streams
- Transforming, enriching and surfacing that data to the business though developing data science models, visualisations and APIs using:

- Python
- SQL
- PowerBI
- SSIS
- Azure stack - specifically Azure data factory and databricks
- Develop and maintain Continuous Integration and Deployment pipelines for the processes and products you have built using Azure DevOps
- You have a continual focus on improving your Data Science & Engineering skills and practices
- Work with your team to build automated solutions
- Work across teams to automate build, test and deployment activities and improve our tooling
- Pair-programming or peer review as appropriate

Recruiter : Martyn Jack
We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity,age, sexual orientation, nationality or disability 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.



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