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Full-time
Comprehensive Benefits Package
Posted 35d ago
~40 hrs/week
Responsibilities
Lead the design and implementation of data models and pipelines to support operational and regulatory reporting. Manage a small team of engineers while setting technical standards and collaborating with stakeholders to deliver data insights.
Requirements
Requires strong hands-on experience with Microsoft Azure data technologies, SQL, and data warehousing in a cloud environment. Proven ability to lead and mentor technical teams and communicate complex data solutions to business stakeholders is essential.
Full job description
About us
Vida Bank provides competitive savings products through Vida Savings and specialist mortgage solutions through Vida Homeloans.
Our mortgage business supports Buy to Let (BTL) and residential borrowers (ROO) who find themselves underserved elsewhere. Our mortgage customers range from Buy to Let investors, to the self-employed and customers with multiple jobs.
Our savings proposition is delivered online via our website, and is focussed on providing savers with fair, transparent and competitive rates. Our typical customers are active savers, who tend to look beyond their current account provider for savings accounts.
Our business model and strategy are underpinned by our core purpose to ‘Help More People Find a Place to call Home’.
We are here to help the under-served, especially those with more nuanced personal circumstances or borrowing needs who are not able to access a mortgage from a mainstream mortgage lender. Working exclusively with intermediary partners, we combine cutting-edge technology with skilled and caring underwriting expertise to solve complex customer problems.
As a fully regulated UK based bank with ambitious growth aspirations, we recognise the importance of having a clearly articulated culture strategy and the need to actively manage how it embeds in the business together with the behaviours which exemplify it.
As a recognised Best Companies Top 100 mid-sized company to work for in the UK and a finalist at the Financial Reporter Women’s Recognition Awards, we take pride in our diverse workforce, championing both ethic and gender diversity through our EDI commitments.
Having met the target set by being a member of the HM Treasury Women in Finance Charter we have 50% of senior management roles filled by women.
With offices in London, Newcastle and Skipton, we bring our teams together regularly to collaborate and empower our colleagues to have more choice around when and where they work on the days they are not in the office, with colleagues working remotely in various locations across the UK.
Our Culture
We are proud to have built a culture founded on an ethos of caring, and that sits at the heart of our Vida Values, driving the way we run our business, support our customers and other stakeholders on a daily basis.
We genuinely care about delivering the right outcomes for all our stakeholders who we consider through the cultural framework as our customers, colleagues, company and communities that we operate in.
By Joining Vida you will have a sense of belonging in what is a diverse and collaborative environment, where you will be empowered to take responsibility for driving delivery.
We embrace a diversity of backgrounds and experiences in our people, in the deeply held belief that better outcomes are achieved for customers when our colleagues are better placed to empathise with and understand their unique circumstances. From application to interview, we place inclusion at the heart of all we do.
Role Overview:
The Lead Data Engineer role will be a technically capable role which will help to drive forward and shape how Vida Bank uses data to help drive commercial success. This role will work within the data team across departments to integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning. They will also lead a small team of engineers assisting with work prioritisation, development of standards and guardrails as well a leadership and mentorship to the team.
Key Responsibilities:
Own the design and implementation of physical data models, dimensional models and semantic models required to support operational, analytical and regulatory reporting, ensuring alignment with enterprise data architecture standards.
Own the design, build, testing and documentation of data pipelines, integrating data from source systems into the data lake and transforming it for use in the data warehouse and reporting layers.
Set and maintain engineering standards, patterns and guardrails for data development, ensuring solutions are reliable, secure, maintainable and aligned to Vida’s architecture principles.
Lead and support a small team of data engineers, helping to prioritise work, remove blockers, review technical outputs and build team capability through coaching and mentoring.
Work with business stakeholders to understand data needs, translate them into clear technical requirements and deliver trusted datasets, reports and insights that support decision-making.
Improve data quality and control standards, ensuring key data outputs are accurate, traceable and fit for operational, commercial and regulatory use.
Manage technical relationships with internal teams and external suppliers, ensuring delivery is joined up, dependencies are clear and outcomes are achieved to agreed standards.
Support the ongoing maturity of Vida’s data platform, identifying opportunities to simplify processes, improve automation and increase resilience across the data estate.
Requirements:
Strong hands-on experience designing, building, testing and supporting data pipelines in a modern cloud data environment.
Good working knowledge of Microsoft data technologies, including Azure Data Factory, Azure data services, SQL Server, Power BI and related tooling.
Strong SQL capability, including data extraction, transformation, performance tuning and troubleshooting.
Experience building reliable data warehouse, data lake or reporting solutions that support operational, commercial or regulatory reporting.
Good understanding of data modelling, data quality controls, documentation and testing standards.
Ability to remain hands-on while leading technical delivery, setting standards and reviewing the work of others.
Experience leading, coaching or mentoring data engineers or analysts in a delivery-focused environment.
Confident working with business stakeholders to understand requirements and translate them into practical data solutions.
Strong communication skills, with the ability to explain technical topics clearly to both technical and non-technical audiences.
Experience working in financial services or another regulated environment is desirable.
Familiarity with governance, control and audit expectations for business-critical data is desirable.
Experience with Python, C#, automation or software engineering practices is desirable.
Experience working with Microsoft Fabric or a comparable lakehouse platform, including data pipelines, semantic models and Power BI reporting, is desirable.
Our Values
Our values are well established and recognised throughout our organisation. They provide a frame of reference for the behaviours expected from our colleagues every day.
We find ways to break old conventions, especially those which cause exclusion or customer harm. We look for these qualities when hiring new talent into the organisation, and they underpin our approach to personal development and performance management for all our people. At the heart of this is the fact we care about our Customers, Our Colleagues and our Communities. We are:
Visionary - We innovate and break old habits, thinking big and pushing boundaries together as one team
Inclusive - We value each other’s differences and work to see people for who they really are
Dynamic - We are flexible and fast, cutting through complexity and never accepting second best
Authentic - We are honest and genuine, what you see is what you get
Benefits
We offer a comprehensive benefits package to support our employees’ professional and personal needs. Further details can be provided upon application.
Related keywords
Azure Data FactorySQL ServerPower BIMicrosoft FabricData LakeData WarehouseDimensional ModellingSemantic ModelsPythonC#Financial ServicesRegulatory ReportingData GovernanceETLCloud Data EnvironmentData Quality
More than ever before, borrowers need a lender that will react and respond when they are faced with financial complexity. Vida is the mortgage lending specialist with a clear focus on helping more customers in their home ownership journey, unravelling complex situations, and making the process clear and simple.
Working exclusively with expert intermediary partners, Vida combines cutting-edge technology with skilled and caring people to deliver an efficient and differentiated customer experience. Since launching in 2015, Vida has continued to invest in technology, people, and processes to better support our Intermediary partners.
Vida is flexible and efficient, cuts through complexity and never accepts second best. What you see is what you get, and it will never change. Put simply, Vida helps those who are typically ignored by high street banks.
Our core purpose is very clear – to help more people find a place to call home.
Offices: 1 Battle Bridge Lane, London, England SE1 2HP, GB · 1 Battle Bridge Lane, London, England SE1 2HP, GB
How many Engineering jobs are open in Greater London, United Kingdom right now?
There are currently 421 open engineering positions in Greater London, United Kingdom listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in Greater London, United Kingdom?
Companies currently hiring include BAM UK & Ireland, Quantum Motion, the LEGO Group, Stannah Group, Kilnbridge, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Greater London, United Kingdom?
Yes — 203 of the 421 open engineering positions offer remote or hybrid work (27 remote, 176 hybrid).
How do I apply for Engineering jobs in Greater London, United Kingdom?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.