Senior Data Support Engineer

At United Trust Bank, we believe that people achieve more together than alone. That’s why we’re dedicated to building great relationships, offering tailored solutions, and providing our clients and broker partners with the support they need to go further. This was true when we first opened our doors, and it’s still our approach today.

We are currently looking to hire a Senior Data Support Engineer who will join our IT team and develop, support the Bank’s Business Intelligence (BI) functions including the Azure data warehouse. The role is closely linked with the Operating divisions. It requires working with Department Heads and divisional accountants with a strong focus on supporting and developing the Finance department.

This is a hybrid role working 3 days in the office (City of London location) and 2 days working from home.

Responsibilities:

• Provide technical support for Azure Data in areas such as data access & ingestion, data processing, data integration, data visualization and advanced analytics
• Create and support detailed Power BI reports, data visualizations and dashboards to effectively communicate insights to business.
• Utilizing Azure Synapse Analytics to provide support for daily data ingestion
• Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance.
• Management of UTB Azure Data Warehouse and regulatory reporting tool (WIRES) provided by Whistlebrook
• Database administration and optimisation tasks
• Management of overnight data feeds of data to and from various internal and external sources

Skills and Experience sought:

• Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science or a related field
• Knowledge of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake and Azure Functions
• Knowledge of Dev-Ops processes including CI/CD
• Designing and building of data pipelines using API ingestion
• Knowledge of Microsoft BI Stack (SSRS/SSIS) is desirable
• Expertise in database management and data modelling
• Proficient in SQL and data visualization tool such as Power BI
• Ability to work independently and manage multiple priorities in a fast-paced environment
• Strong communication skills

Equal Opportunities

We're an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. During the application process, you will be asked to complete an equality questionnaire on a voluntary basis and any data we collect will be treated confidentially and used for evaluation purposes. This will be for a period of 6 months or longer with your permission. This helps us understand our applicants so we can make sure we are doing everything we can to attract a diverse range of people and ensure our recruitment processes are fair and inclusive.