Hampshire Trust Bank is a specialist bank, staffed by experts focused on helping UK businesses realise their ambitions.
We offer niche specialty lines, as a SME bank, targeting under‑served segments. Our dedicated Wholesale Finance, Bridging Finance, Development Finance and Specialist Mortgages teams ensure that businesses receive the outstanding service, lasting relationships, integrity and expertise they need to prosper.
About the Department
Hampshire Trust Bank has a strong growth forecast for the years ahead, having achieved strong growth over recent years, and becoming a data‑driven business is identified as a key success criterion for achieving those forecasts on a cost‑effective basis.
The Bank is investing in becoming a data‑driven business and is in the process of migrating to a new data platform, comprising of a Snowflake data warehouse, Tableau reporting and analysis platform, and a new data governance operation.
As a result, we are seeking a new Data Engineering Lead to own the data delivery, whilst managing a small team of Data Engineers. The Data Engineering Lead will work effectively across teams (Data, BI, Architecture, Tech) to align on delivery and platform direction.
Key Responsibilities
- Own the design, development, and maintenance of enterprise‑grade data pipelines across the Snowflake data warehouse, ensuring reliability, scalability, and adherence to industry best practices.
- Lead innovation in ETL/ELT, data orchestration, CI/CD, and automated testing approaches, introducing modern tooling and methodologies to enhance the Data Platform.
- Define and enforce engineering standards, including coding conventions, testing frameworks, version control practices, and data modelling guidelines.
- Manage and develop a team of Data Engineers, providing coaching, technical leadership, mentoring, and structured upskilling programmes to elevate capability across the team.
- Make key technical decisions relating to data integration strategies, performance optimisation, platform tooling, and development lifecycle processes.
- Oversee the operational reliability of data pipelines, ensuring SLAs/KPIs for data freshness, quality, and availability are met consistently.
- Collaborate with the Lead Data Architect, Business Analyst, BI Delivery Lead, and cross‑functional teams to translate business needs into robust engineering solutions.
- Manage resource allocation and prioritisation for data engineering workstreams, balancing delivery demands with technical improvements.
- Support platform governance and compliance, including GDPR‑compliant data processing, secure data handling, and alignment with enterprise architectural standards.
- Drive continuous platform evolution, identifying opportunities to automate, modernise, simplify, and scale the Data Platform in line with business growth.
Required Skills & Experience
- Proven experience in a senior or lead data engineering role within a modern cloud data platform environment.
- Strong hands‑on experience with Snowflake data warehouse design, performance tuning, and data modelling.
- Expertise in modern ETL/ELT tooling and workflow orchestration (e.g., Airflow, dbt, Matilion, or similar).
- Working knowledge of CI/CD pipelines, automated testing frameworks, and Git‑based development.
- Strong experience with SQL, Python, and data transformation best practices.
- Background in building, maintaining, and improving scalable enterprise data platforms.
- Experience leading, coaching, or mentoring data engineers.
- Leadership mindset with a focus on capability building and team progression.
- Strong communicator capable of translating complex technical concepts for non‑technical audiences.
- Competitive remuneration including discretionary annual bonus and annual pay review
- Private Medical Insurance (Bupa)
- 25 days annual leave (increasing with service) + Holiday Buy Scheme
- Cycle to Work Scheme & Green Car Scheme
- Enhanced family leave policies
- Study support & professional memberships
- Hybrid working (50/50 London)
- Interest‑free season ticket loan
