Data Engineer - Data Lab

Conteúdo do emprego

At M&G our vision is: to become the best loved and most successful savings and investment businessand we’re looking for people who are excited about joining us on our journey. We’re digitally transforming and investing heavily in technology and innovation to develop new and improved customer propositions that really raise the bar for our customers. To help us achieve our vision we’re looking for exceptional people who live our values and behaviours and who can inspire others; embrace change; deliver results and keep it simple.

We know that an inclusive environment makes us more accessible and ensures we attract, engage, promote and retain exceptional people. We welcome applications from all individuals regardless of age, gender/gender identity, sexual orientation, ethnicity/nationality, disability, or military service and welcome those who have taken career breaks. We will consider flexible working arrangements or home working arrangements for any of our roles.

What You Can Expect From Us

We are committed to creating an environment where you can be exceptional at all you do. To help us deliver this, we promise to:

• Challenge Your Limits by creating a stimulating working environment and providing opportunities for you to be involved in meaningful and challenging work
• Support Your Aspirations with a commitment to learning and development that helps you achieve and build your experience with people who want you to succeed
• Value Your Input whereby leaders and managers will involve you in key decisions, listen to your thoughts and recognise the important contribution you make
• Balance Your Life through a work life partnership that focuses on making this an inclusive, diverse and friendly place to work and offers the flexibility and support that enables everyone to be at their best
  

How Do We Support Our Employees

All M&G plc employees will be supported in the workplace through our M&G Employee Assistance Programme (EAP). If you need counselling, confidential financial or legal advice. The service is available 24 hours a day, 365 days a year and offers access to qualified professionals who can provide specialist information, advice and support on many issues. It offers a broad range of services, including help with family issues, maintaining work/life balance and mental health support.

Context for role

The Chief Data Office (CDO) within M&G plc is mobilising a Data Delivery squad to provide innovative solutions to complex business problems across the enterprise and to introduce a new way of working. The team will consist of data experts possessing capability across the following main functions, Data Engineering, Data Science, Architecture and Visualisation. This team will use an Agile delivery and prototyping based approach to deliver outcomes.

The key focus of this role is to work with the Data Lab manager to establish this capability within the business. The Lab needs to take a data first approach to all work, ensuring that we drive value from our data now. The successful candidate will need to be agile in their approach to data engineering and will be required to wear many hats, including that of a generalist engineer, a pipeline centric engineer and a database centric engineer.

The successful candidate will work with the Data Lab manager and other team members to investigate and discover, plan, develop, deliver, and iterate solutions. The projects that this team will work on could include, sourcing and preparing data for analysis, automating manual cleaning processes, bringing large sets of data together from across the business through API and pipeline development, creating algorithms to identify trends, etc.

Ideally, the successful candidate will come from a financial services background with solid experience in working with large datasets from a range of sources, including on premise and in the cloud, specifically Microsoft Azure. It is important that the candidate has experience with Azure Data Factory, Azure SQL, Azure Data Lake, Synapse, Databricks, Power BI,and Python. However, candidates with significant experience with similar technologies and an aptitude to learn quickly will also be considered. It is important that the candidate be confident and experienced in presenting their work to stakeholders and senior leaders with clarity.

Purpose statement

The overall purpose and key responsibilities of the Data Engineer in the Data Lab are:

• To undertake the data engineering work that is required within the data lab in line with the agreed and prioritised scope, objectives and deliverables of the project, ensuring that work is documented and shared within the team.
• To provide data engineering knowledge and understanding to team members to promote a data first and open approach to development.
• To develop, construct, test and maintain databases and data structures.
• To acquire data and develop robust processes for creating and retrieving information from data sets.
• To use programming languages and tools to examine data, identifying ways to improve data reliability, efficiency and quality.
• To deploy analytics programs, machine learning and statistical methods to prepare data for predictive and prescriptive modelling.
• To work collaboratively with the Data Lab Manager, the business, the CDO and Data Architecture teams to understand, plan and deliver work.
  

To ensure timeframes agreed with the Data Lab Manager and stakeholders for project deliverables are met, identifying and raising any risks and issues related to their delivery to the Data Lab Manager.

Knowledge statement

The successful candidate for the Data Engineer role in the Data Lab will possess and be able to demonstrate:

• Expert-level knowledge of Azure and it’s data capabilities, including Azure Data Factory, Azure Data Lake, AzureSQL.
• Expert-level knowledge of programming languages and technologies, including: SQL, Python, Databricks, Synapse and Power BI.
• Understanding of trade, portfolio and market data used in the end-to-end investment lifecycle.
  

Experience Statement

Key experience of the successful candidate for the Data Engineer role will include:

• At-least 5 years experience in a Data Engineering role within financial services, including pipeline and algorithm creation and maintenance.
• Experience of joining a newly established team within a large enterprise.
• Experience of working with junior engineers, data architects and business colleagues.
• Experience of working in a data lab / innovation lab team or a team of a similar nature.
• Experience of working in an Agile way, following methods such as Scrum and/or Kanban.
  

Desired But Not Essential

• Experience in a data science role using data science technologies and techniques such as: Artificial Intelligence (AI), Natural language processing (NLP) and Machine Learning (ML)
  

We live by four behaviours at M&G and we ask all our employees to:

• Inspire Others - Support and encourage each other, creating an environment where everyone can contribute and succeed
• Embrace Change - Be open to change, willing to be challenged and able to adapt quickly and imaginatively to new ideas
• Deliver Results - Focus on outcomes, set high standards and deliver with energy and determination
• Keep it Simple - Cut through complexity and bureaucracy, be clear and decisive and never overcomplicate things