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For Companies 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.
- 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.
- Other info: Be part of a supportive culture with clear career progression opportunities.
The predicted salary is between 36000 - 60000 ÂŁ 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
Contact Detail:
Quantum Mortgages Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Junior / Senior) in Bletchley
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's a personal project or something from your studies. This gives you a chance to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would approach designing data pipelines or optimising data flows. The more prepared you are, the more confident you'll feel!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team at Quantum Mortgages.
We think you need these skills to ace Data Engineer (Junior / Senior) in Bletchley
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight any relevant projects or technologies you've worked with, especially those mentioned in the job description.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Be specific about your experiences and how they align with our mission at Quantum Mortgages.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Microsoft Fabric, Python, and data visualisation platforms. We want to see how you can bring your technical expertise to our data infrastructure.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Quantum Mortgages
✨Know Your Data Stuff
Make sure you brush up on your data engineering skills, especially around ETL/ELT processes and data warehousing. Be ready to discuss your experience with Microsoft Fabric and any big data technologies you've worked with. This will show that you're not just familiar with the tools but can also apply them effectively.
✨Understand the Business Needs
Before the interview, take some time to research Quantum Mortgages and their approach to data solutions. Think about how you can align your skills with their business processes and how you can contribute to improving their data infrastructure. Being able to speak to specific examples will impress the interviewers.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your problem-solving abilities and analytical skills. Practice explaining your past projects, focusing on the challenges you faced and how you overcame them. This will demonstrate your critical thinking and adaptability in a fast-paced environment.
✨Showcase Your Communication Skills
Since collaboration with stakeholders is key, be prepared to discuss how you've effectively communicated complex data concepts to non-technical audiences. Share examples of how you've facilitated meetings or workshops, as this will highlight your interpersonal skills and ability to work within a team.
