Data Engineer; Junior​/Senior

The main purpose of the Data Engineer (Junior / Senior, depending on experience) is to own the design, development, and optimisation of our data infrastructure, enabling robust analytics and reporting across the business. You will collaborate with stakeholders to understand data needs, automate data flows, and ensure the integrity, security, and scalability of our data platforms.

• Design, build, and maintain robust, scalable data pipelines and ETL/ELT processes for the Microsoft Fabric Data Warehouse to support business intelligence, reporting, and analytics needs.
• Develop and optimise data warehousing solutions, ensuring efficient storage, retrieval, and analysis of large, complex datasets.
• Implement and maintain data lakes, ensuring data organisation, security, and availability for diverse business use cases.

• Analyse and document business processes, workflows, and systems to identify and deliver areas for improvement through data‑driven solutions.
• Collaborate with stakeholders to gather, define, and translate business requirements into technical specifications and actionable data solutions.

• Ensure data integrity, accuracy, and security across all reporting and analytics platforms.
• Develop and maintain technical architectural documentation, data dictionaries, and governance frameworks.
• Liaise with external auditors and stakeholders to support regulatory reporting, compliance, and data privacy (GDPR).

• Facilitate meetings and workshops with stakeholders to elicit requirements, discuss solutions, and provide updates on data initiatives.
• Provide training and support to end‑users, ensuring smooth adoption of new data processes and systems.
• Act as a technical liaison with software vendors and internal teams to resolve data issues and optimise data transfers.
• Monitor and evaluate the effectiveness of implemented data solutions, recommending and delivering continuous improvements.
• Proactively identify business improvement opportunities through advanced analytics and data engineering best practices.
• Support strategic performance initiatives, including migration of calculations and data onto cloud platforms.

• Maintain project plans, timelines, and status reports to ensure timely delivery of data engineering projects.
• Support system migrations and onboarding, maintaining the integrity of the data warehouse and reporting infrastructure.
• Assist with the planning and execution of testing, including user acceptance testing (UAT) and automated testing frameworks.
• Build strong relationships with peers, superiors, and external partners to foster a collaborative, data‑driven culture.
• Champion Quantum Mortgages’ values of being customer‑led, respectful, inclusive, and open in all data engineering activities.

• Proven experience as Data Architect or Data Engineer (mortgage lending/financial services preferred, not essential).
• Strong analytical/problem‑solving skills.
• Excellent communication/interpersonal skills.
• Proficiency in business analysis tools, process mapping, data modelling, requirements gathering.
• Proficiency in Microsoft Office Suite and BI tools.
• Experience with data warehousing, big data technologies, scripting (Python/PySpark).
• Data visualisation and analytics experience (Power BI, Tableau, SSRS).
• Ability to prioritise in high‑change environment.
• Experience with Microsoft Fabric (or similar).
• Knowledge of Finova/Apprivo2 software.
• Knowledge of mortgage lending processes/regulations.
• Experience in specialist Buy to Let & Residential lending.
• Familiarity with modern data stack, columnar databases, data transformation tools.
• Knowledge of infrastructure/data architectures for investment management.
• Data privacy/GDPR.
• Experience with JIRA & Confluence.
• Automated testing design/setup.
• Change Data Capture/event‑driven architecture.

• Detail‑oriented with a strong focus on accuracy and quality.
• Ability to work independently and as part of a team.
• Adaptable and open to change in a fast‑paced environment.
• Strong…