Data Engineer (Junior / Senior)

Quantum Mortgages
Milton Keynes
3 weeks ago
Create job alert

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.


Key Responsibilities

  • 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.

Business Process & Platform Management

  • 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.

Data Quality, Governance & Compliance

  • 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).

Stakeholder Engagement & Support

  • 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.

Project & Change Management

  • 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.

What We’re Looking For
Skills and Competencies

  • 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.

Personal Attributes & Disposition

  • 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 organisational and time‑management skills.

Why Join Us?

  • Company Bonus Scheme: Up to 10% in line with our policies, rewarding your hard work and dedication.
  • Vitality Private Medical Insurance: Comprehensive coverage for you and your family.
  • Hybrid Working: Enjoy the flexibility of working from home 3 days a week, with additional/alternative flexible arrangements considered upon request.
  • Generous Leave: 23 days annual leave, 8 statutory holidays, plus 2 additional paid leave days over the Christmas period.
  • Career Progression: Clear pathways for advancement, with achievements recognised and celebrated.
  • Pension Scheme: Competitive contributions to secure your future.
  • Life Insurance: Coverage up to 4x your salary for peace of mind.
  • Fantastic Company Culture: We pride ourselves on our inclusive and supportive environment, reflected in our amazing team.
  • Wellbeing Support: Access to resources and programs to support your mental and physical health.
  • Professional Development: Opportunities for training and growth to help you advance your career.

About Us

At Quantum Mortgages Limited (QML), we are dedicated to revolutionising the mortgage industry with innovative solutions and exceptional customer service. Established with a vision to simplify the mortgage process, we have grown into a trusted name in the financial sector.


Our mission is to offer personalised mortgage solutions that cater to the unique needs of each client, ensuring a smooth and supportive journey from application to approval.


What Sets Us Apart

  • Recognised Excellence: Recently recognised by Mortgage Introducer magazine as the overall top mortgage employer of 2023 and Buy to Let Lender of the Year.
  • Specialist Lender: We specialise in providing finance to professional landlords who are underserved by high street lenders and even many existing specialist lenders.
  • Personalised Service: We offer customised mortgage solutions tailored to individual needs, ensuring our clients receive the best possible support.

Join us at Quantum Mortgages Limited and be a part of a team that is shaping the future of the mortgage industry. Together, we can achieve great things.


Seniority level: Entry level


Employment type: Full‑time


Job function: Information Technology


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.