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Salary
≈ $112k – $209k per year (Estimated)
Location
In office (United Kingdom)
Seniority
Architect
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
We are an award-winning UK retail bank, providing savings accounts and lending services to over a million customers since 1952.

Job Role: Head of Data Engineering

Location: Solihull

Hours: 35 hours per week

About the company

Our customers are at the heart of everything we do, but we can’t achieve our customer focused strategy without the right people in our team.

At Secure Trust Bank, we know that people are our biggest Asset, which is why a career with us is not just a job. It’s the chance to be part of something bigger, to add real value to the Bank and help us constantly improve. We believe in giving our staff autonomy, with initiative and exceptional performance recognised through a variety of individual and team awards and incentives. All our employees have a tangible impact on the Group’s core values, and we are looking for candidates who are enthusiastic, proactive and enjoy working in a fast-paced environment.

Why Join Us?

  • A competitive salary and benefits package including discretionary bonus
  • Matched pension contributions
  • 25 days annual leave plus bank holidays and your birthday off, on us!
  • A monthly wellbeing hour to spend doing whatever makes you happy
  • A wide range of flexible benefits from Cycle2Work to private healthcare
  • Life assurance
  • Paid volunteering days and matched charity fundraising
  • A collaborative and flexible working environment.
  • Opportunities for professional development and career progression.
  • A chance to make a real impact in a regulated, purpose-driven organisation.

    What you`ll be doing

    Data has the power to transform how we serve our customers, make decisions and shape the future of our business. At Secure Trust Bank, we're investing in a modern, enterprise-wide data platform and are looking for an exceptional Head of Data Engineering to lead this journey. This is a unique opportunity to build and develop a high-performing team, drive the evolution of our Azure Databricks platform, and create trusted, accessible data products that deliver real value across the Bank. Working with senior stakeholders from across the business, you'll play a key role in turning our Enterprise Data Strategy into reality, helping to create a strong, governed data foundation that supports everything from regulatory reporting and operational excellence to advanced analytics and future AI capabilities.

  • Lead, develop and inspire the Data Engineering function, fostering a high-performing team culture and engineering excellence.
  • Drive the delivery, adoption and continuous enhancement of the Azure Databricks Enterprise Data Platform.
  • Establish a sustainable in-house data engineering capability, ensuring effective knowledge transfer from strategic partners.
  • Develop scalable and reusable data ingestion, transformation and CI/CD frameworks to support efficient platform delivery.
  • Deliver trusted, governed data products through a modern medallion architecture, ensuring high standards of quality, security and resilience.
  • Collaborate with Architecture and Data Governance teams to embed robust data models, lineage, ownership and control frameworks.
  • Partner with business leaders across Finance, Credit Risk, Operations and Savings to deliver data solutions that support strategic and regulatory objectives.
  • Prioritise engineering activity across business change, regulatory commitments and operational demands, providing clear visibility of risks and dependencies.
  • Build team capability through coaching, mentoring, structured development and Databricks-focused training and accreditation.
  • Manage technology partners, platform performance and service delivery, while supporting the retirement of legacy data solutions and reporting processes.

    What we`re looking for

  • Proven experience leading and developing high-performing Data Engineering teams within a complex organisation.
  • Strong expertise in Azure Databricks, cloud data platforms and modern lakehouse architectures.
  • Deep understanding of data engineering best practices, including ETL/ELT, data pipelines, orchestration and data product delivery.
  • Experience embedding data governance, quality, lineage, security and auditability into engineering solutions.
  • Ability to translate data and technology strategy into tangible business value, customer outcomes and commercial impact.
  • Excellent stakeholder management, communication and influencing skills, with the ability to engage both technical and non-technical audiences.
  • Experience managing third-party suppliers and leading the transition from partner-led delivery to internal ownership and capability.
  • A track record of delivering results in a regulated environment, balancing strategic change, operational priorities and resource constraints.

Everyone is different. Everyone is valued

As part of our vision to become the most trusted specialist lender in the UK, we’ve been helping customers and businesses fulfil their ambitions since 1952. In that time, we’ve learned that we’re more than the sum of our parts. We’re a strong Group because of our people being our strength; specialist, expert, ambitious and also diverse. All of our people are different and this is something we celebrate.

Every one of our employees brings unique talent, ability and perspective to their role.

That’s why Secure Trust Bank Group nurtures differences. We understand that we perform better because we’re not cast from the same mould. We actively embrace and support diversity, work with leading industry bodies and promote initiatives that reinforce our philosophy of giving you the freedom to be who you are.

We’re an award-winning bank providing savings accounts and lending services to over one million customers. We’re Secure Trust Bank Group. We embrace difference.

Skills

Credit Risk Skills - SQL, Credit Risk Skills - Modelling, Analyst - DATA GOVERNANCE

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