Head Of Data Engineering

About

The Role

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 Cycle2

Work to private healthcare  Life assurance Paid volunteering days and matched charity fundraisingA 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,…