The Risk Data team is a small but critical part of the DFTD team. They are responsible for data transformation and analytics for Risk projects in DFTD.
The team are looking for a Data Engineer to support us to continue data transformation projects on Data Lakehouse for the Risk, Finance and Treasury side of the business. This would mean starting projects from scratch or moving projects from existing platforms and simplifying them.
We are seeking someone who will be able to build strong and productive relationships with the Credit Risk team, whilst helping them to adapt to new tooling and ways of working. You will be driven by making a tangible difference and adding value by being a critical friend, creating actionable insight and producing clear and concise reporting, which will support leadership to make more informed decisions and directly drive forward the Data strategy.
At Nationwide we offer hybrid working wherever possible. More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working. We value our time in the office to solve problems, to learn, and to feel connected.
For this job you'll spend at least two days per week, or if part time you'll spend 40% of your working time, based at either our Swindon, Bournemouth, London or Northampton office. As an Engineer in the team, you’ll be working with Project Managers and stakeholders to prioritise & estimate work.
End-to-end solution delivery for data engineering projects and data lifecycle management, particularly where acquiring, ingesting and managing data on an enterprise data platform
Support of enterprise scale data integration, supporting new business demand and acting as 3rd line support for complex issues
Identifying deficiencies and opportunities to improve processes, data governance and data controls that see guardrails as a minimum requirement
Extensive SAS
Experience in end-to-end solution delivery for data engineering projects and data lifecycle management, particularly where acquiring, ingesting and managing data on an enterprise data platform
Demonstrate experience in the operational running & support of enterprise scale data integration, supporting new business demand, acting as 3rd line support for complex issues
The expertise and knowledge to identify deficiencies and opportunities to improve processes, data governance and data controls
Knowledge and understanding of data such that you can identify where data content, data structure and data metadata may not align with the documentation
Databricks/Snowflake, DBT, FICO, MongoDB, Python, Azure Data Factory, CI/CD pipelines, Data warehousing, GitHub
Say it straight - We are brave in speaking out and saying what we think – we’re honest and direct with good intent, openly sharing diverse perspectives to reach the best conclusions and using language everyone can understand
Push for better - We don’t settle for mediocrity, we challenge the status quo, taking responsibility for continuous improvement and personal development
Get it done - We prioritise what will have the greatest impact, we are decisive, and we take accountability for delivering brilliant customer outcomes.
A personal pension – if you put in 7% of your salary, we’ll top up by a further 16%
~ Life assurance worth 8x your salary
~ A great selection of additional benefits through our salary sacrifice scheme
~ Access to an annual performance related bonus
~ Access to training to help you develop and progress your career
~25 days holiday, pro rata
As a mutual, we’re owned by our members - those customers who bank, save or have a mortgage with us. We challenge the financial sector status quo. As a community we want our working lives to count. As a standard-setter, we work for the good of customers, communities, and broader society.