Data Engineer

Data Engineer

We are seeking a talented Data Engineer to join a high-performing team responsible for delivering reliable, scalable, and business-critical data solutions within Personal and Private Banking. This role offers the opportunity to work within a data-driven environment where data plays a key role in enabling strategic decision-making, enhancing customer experiences, and driving business performance.

You will work across complex data ecosystems, supporting the design, development, enhancement, and optimisation of enterprise data platforms and data warehouse solutions. Collaborating with business stakeholders, analysts, architects, and technology teams, you will help deliver trusted, high-quality data that supports both operational and strategic objectives.

The successful candidate will contribute to building and maintaining robust data pipelines, improving data quality and governance standards, and driving continuous improvement across the data landscape. If you are passionate about solving complex data challenges and delivering meaningful business impact, this role offers an exciting opportunity to grow your expertise within a dynamic banking environment.

To design, develop, support, and optimise data solutions that enable trusted, accessible, and high-quality information across the business. The role is responsible for managing data integration processes, maintaining data warehouse environments, ensuring data governance compliance, and supporting business intelligence and analytics initiatives through the delivery of reliable and scalable data assets.

Professional Qualifications/Honour’s Degree

Advanced Diplomas/National 1st Degrees

Degree in any of the following:

Mathematical/Statistics

Information Technology

Computer Science

Data Science

Engineering

Or similiar

DAMA Certification

Microsoft Azure Data Engineer Associate

Data Warehousing or Database Certification

Relevant Cloud, Data Engineering, or ETL Certification

5+ years' experience within Data Engineering, Data Warehousing, Data Management, Business Intelligence, or related data-focused environments.

Proven experience designing, developing and supporting enterprise-scale data solutions.

Strong hands-on experience with SQL development, query optimisation, data modelling, and ETL/ELT processes.

Experience translating business requirements into scalable data solutions and actionable insights.

Experience working with large and complex datasets across multiple source systems.

Experience implementing and maintaining data governance, metadata, lineage, and quality standards.

Exposure to cloud-based data platforms and modern data engineering frameworks.

Experience working within Agile delivery environments and collaborating with cross-functional teams.

Experience within a banking, financial services, or other regulated environment will be advantageous

Contribute to the achievement of transformation and culture objectives.

Participate in corporate social responsibility and business initiatives.

Identify opportunities to improve processes, systems, and operational efficiencies.

Deliver work in line with stakeholder requirements through effective planning and prioritisation.

Adhere to governance, risk, compliance, and security standards.

Build, maintain, and optimise data pipelines, ETL processes, and data integration solutions.

Support and enhance enterprise data warehouse environments.

Ensure data quality, integrity, accuracy, and availability across data platforms.

Maintain metadata, data lineage, and data governance standards.

Monitor, troubleshoot, and resolve data-related incidents.

Translate business requirements into scalable and sustainable data solutions.

Support business stakeholders with trusted and accessible data to enable decision-making.

Identify and implement automation and innovation opportunities.

Participate in Agile delivery activities including planning, development, testing, deployment, and support.

Build and maintain effective relationships with stakeholders, technology partners, and vendors.

Contribute to knowledge-sharing and continuous improvement initiatives.

Remain current with industry trends, emerging technologies, and leading data engineering practices.

Drive personal growth through continuous learning and skills development.