The Division

The Digital, Data and Technology (DDAT) directorate has recently been established in UKEF, drawing together the expertise in digital currently within the organisation to provide representation of digital services, user centred design, analytics and technology at the highest levels. The areas with the directorate work closely with all areas of the business such as the Business Group, Operations and Strategy and Policy.

About the Role

UKEF is committed to be a more customer-centric organisation, making it easier for customers to deal with us, offering improved response times, quicker decision-making and improved case-processing. To enable this, UKEF is committed to using digital as a primary means for managing relationships with a wider range of stakeholders. Focusing on developing end-to-end services that meet user need and enable business outcomes, this is an exciting new role showing the growth and drive of UKEFs digital ambition.

This role requires you to develop and maintain Data Integration solutions, identify opportunities for improving data infrastructure and processes, develop and maintain ETL processes and manage the deployment and release of data pipelines and applications.

Main Activities

• Monitor and troubleshoot data processing systems to ensure uptime and reliability.
• Develop and maintain data integration solutions for combining data from various sources.
• Provide quality assurance and code reviews of other developer’s work.
• Work with stakeholders to identify opportunities for improving data infrastructure and processes.
• Implement and maintain data backup and recovery processes to ensure data availability in case of system failures.
• Develop and maintain documentation and training materials to support data infrastructure and processing pipelines.
• Responsible for managing data platforms, such as data warehouses, data lakes, and other data storage systems.
• Responsible for developing and implementing data management processes, including data integration, data migration, and data storage.
• Responsible for ensuring that data is secure and compliant with relevant regulations, such as GDPR. This may involve implementing data access controls, data encryption, and data masking.
• Responsible for creating and maintaining ETL (Extract, Transform, Load) processes for structured and unstructured data.
• Responsible for the technical approach to data integrity and back-out plans for all changes to UKEF systems.
• Manage the deployment and release of data pipelines and applications.
• Contribute to the development and execution of the organization's data strategy and roadmap.
• Responsible for staying up-to-date with industry trends in data management and data engineering, ensuring that the organization is using the latest tools and technologies.

UK Export Finance is looking for motivated individuals with a desire to learn about the business. Successful candidates will be provided not only with functional training to enable them to do well in their role, but also with personal development to help them to achieve their career ambitions. Please note that the person specification below outlines at which stage(s) you will be assessed on how you meet the criteria for the role(s) including:-

A = assessed at application stage I = assessed at interview stage T = assessed by test stage P = assessed at presentation stage

Essential

Qualifications

• 5 GCSE passes (including Maths and English) at Grade 4 (C) or above; or relevant professional experience. (A)
• Evidence of continuing professional development. (A)

Knowledge

• Expert knowledge of SQL and T-SQL. (A, I)
• Knowledge of ETL and ELT tools. (A, I)
• Expert knowledge of Data warehouse architectures and Data modelling techniques. (A, I)

Skills/Ability

All skill levels are in relation to Senior Data Engineer - Government Digital and Data Profession Capability Framework (ddat-capability-framework.service.gov.uk)

• Communicating between the technical and non-technical (Skill level: working) (A, I):
  • You can communicate effectively with technical and non-technical stakeholders.
  • You can support and host discussions within a multidisciplinary team, with potentially difficult dynamics.
  You can be an advocate for the team externally and can manage differing perspectives.
  
• Data analysis and synthesis (Skill level: working) (A, I):
  • You can undertake data profiling and source system analysis.
  You can present clear insights to colleagues to support the end use of the data.
  
• Data development process (Skill level: practitioner) (A, I):
  • You can design, build and test data products that are complex or large scale.
  You can build teams to complete data integration services.
  
• Data innovation (Skill level: working) (A, I): You can understand the impact on the organisation of emerging trends in data tools, analysis techniques and data usage
  
• Data integration design (Skill level: practitioner) (A, I):
  • You can understand the concepts and principles of data modelling.
  • You can produce relevant data models across multiple subject areas.
  • You can reverse-engineer data models from a live system.
  • You can understand industry-recognised data modelling patterns and standards, and when to apply them.
  You can compare and align different data models.
  
• Data modelling (Skill level: expert) (A, I):
  • You can understand the concepts and principles of data modelling and can produce relevant data models.
  • You can work across government and industry, recognising opportunities for the reuse and alignment of data models in different organisations.
  You can design the method to categorise data models within an organisation.
  
• Metadata management (Skill level: practitioner) (A, I):
  • You can design an appropriate metadata repository and present changes to existing metadata repositories.
  • You can understand a range of tools for storing and working with metadata.
  You can provide oversight and advice to more inexperienced members of the team.
  
• Problem resolution (Skill level: working) (A, I):
  • You can respond to problems in databases, data processes, data products and services as they occur.
  • You can initiate actions, monitor services and identify trends to resolve problems.
  You can determine the appropriate remedy and assist with its implementation, and with preventative measures.
  
• Programming and build (Skill level: practitioner) (A, I):
  • You can use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations.
  You can collaborate with others to review specifications where appropriate.
  
• Technical understanding (Skill level: working) (A, I):
  • You can understand the core technical concepts related to the role and apply them with guidance.

Experience

Experience in the following disciplines (A, I) :

• Microsoft Fabric: Familiarity with Microsoft Fabric’s unified data platform capabilities, including integration with OneLake, Data Factory, and Synapse experiences. Understanding of how Fabric supports end-to-end data workflows, from ingestion and transformation to analytics and visualisation, within a single SaaS environment.
• ETL Tools: Experience using ETL tools such as Informatica IICS, with an understanding of how these can complement or transition into Microsoft Fabric’s Data Factory pipelines.
• Azure Cloud Computing: Experience using Azure services such as Azure Managed Instance, Azure Data Lakes, and Azure SQL to build scalable and secure cloud-based data solutions.
• SQL Coding: Proficient in T-SQL for querying, data manipulation, and performance tuning.
• MSSQL Stack: Hands-on experience with the Microsoft SQL Server stack, including SSMS, SSIS, SSRS, and SSAS.
• SQL Server Optimisation: Knowledge and practical experience in SQL Server optimisation techniques, including indexing strategies, query tuning, and execution plan analysis.
• Database Design: Skilled in designing efficient, scalable, and conformant relational database schemas.
• SQL Server Troubleshooting: Experience diagnosing and resolving performance and connectivity issues in SQL Server environments.
• Agile Methodologies: Practical experience working in Agile environments, including Scrum and Kanban frameworks, with a focus on iterative delivery and stakeholder collaboration.
• Unit Testing: Familiarity with unit testing practices for data pipelines and SQL procedures to ensure reliability and maintainability.

We'll assess you against these behaviours during the selection process:

• Changing and Improving
• Delivering at Pace
• Leadership

We'll assess you against these technical skills during the selection process:

• Technical interview
• Presentation - topic agreed by UKEF and will be provided to the relevant candidates

• Learning and development tailored to your role
• An environment with flexible working options
• A culture encouraging inclusion and diversity
• A Civil Service pension with an employer contribution of 28.97%

Job contact :

• Name : Recruitment Team
• Email : Recruitment2@ukexportfinance.gov.uk

Recruitment team

• Email : Recruitment2@ukexportfinance.gov.uk