At a Glance
- Tasks: Design and optimise data infrastructure for robust analytics and reporting.
- Company: Join Quantum Mortgages, a leader in innovative mortgage solutions.
- Benefits: Enjoy hybrid working, competitive salary, and comprehensive health coverage.
- Other info: Be part of a supportive culture with clear career progression opportunities.
- Why this job: Make a real impact in the mortgage industry with cutting-edge data solutions.
- Qualifications: Experience in data engineering or architecture, strong analytical skills required.
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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.
What We’re Looking For
- 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.
Data Engineer (Junior / Senior) in Bletchley employer: Quantum Mortgages
Quantum Mortgages Limited (QML) is an excellent employer that fosters a supportive and dynamic work culture, offering a hybrid role that promotes work-life balance. Employees benefit from competitive bonuses, comprehensive training, and clear pathways for career advancement, all while being part of a team dedicated to delivering exceptional service in the mortgage industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Junior / Senior) in Bletchley
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We think you need these skills to ace Data Engineer (Junior / Senior) in Bletchley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.