At a Glance
- Tasks: Design and optimise scalable data pipelines to support business needs.
- Company: Join believe housing, a forward-thinking organisation transforming customer experiences.
- Benefits: Competitive salary, up to 33 days leave, healthcare scheme, and flexible working.
- Other info: Inclusive culture that encourages growth and supports your wellbeing.
- Why this job: Be part of an exciting transformation and make a real impact with data.
- Qualifications: Experience in SQL, data engineering, and problem-solving skills.
The predicted salary is between 50299 - 51698 £ per year.
Are you ready to be part of something extraordinary? Here at believe housing, we’re firmly into one of the most exciting chapters in our story, with an ambitious programme of transformation now well underway - reshaping how we think, work and create exceptional value and experiences for our customers and colleagues. Our recently established Target Operating Model (TOM) programme brings together new technologies, reimagined services and change across every part of the business, with our workstreams underway and our programme approach continuing to mature.
If you thrive in fast-moving environments, love solving real problems, and want to help strengthen and shape something brilliant for our customers, this is your moment. We’re looking for a Data Engineer to join our team on a fixed-term contract until April 2029. We believe in life without barriers; if you think you’d be great in the role, we want to hear from you. We’re interested in your skills, experience and personal values and we’re committed to being a supportive and inclusive employer.
A flexible approach that works for you: We’re a family-friendly organisation, and we encourage everyone to ‘work the believe way’; keeping things simple, focusing on what matters and removing unnecessary tasks. Your working arrangements will be flexible, based on the needs of the role, our customers and your preferences (agreed with your manager). Our offices are in Seaham and Bishop Auckland, and this role will require an on-site presence for part of the week.
About the role: As a Data Engineer, you will be responsible for designing, building and optimising scalable data pipelines that reliably support business and analytical needs. You’ll apply structured, evidence‑based problem‑solving to identify trends, diagnose root causes and generate meaningful insights, ensuring that all data outputs are accurate, consistent and supported by robust validation and automated quality processes.
- Design, develop and maintain scalable SQL‑based data pipelines, ETL/ELT processes and integrations across an on-premise database system.
- Develop, optimise and maintain SQL Server databases, stored procedures, views and transformation processes to support reporting, analytics, and business intelligence.
- Support the organisations transition toward Microsoft Fabric, contributing to the development of cloud‑based data pipelines, lakehouses and modern data engineering solutions.
- Implement data quality, validation, monitoring and error‑handling processes to ensure the accuracy, consistency, integrity and reliability of organisational data.
- Collaborate with Data Analysts, BI developers, IT teams and business stakeholders to understand requirements and deliver effective, business‑focused data solutions.
- Monitor, troubleshoot and optimise data processes and infrastructure, ensuring performance, reliability, scalability and operational efficiency.
- Maintain technical documentation, data engineering standards, security, governance and best practices, ensuring compliance with organisational policies and relevant regulatory requirements within the social housing sector.
We offer a competitive salary of £50,299 to £51,698 per annum and:
- Up to 33 days annual leave, plus four volunteering days.
- Access to our healthcare scheme.
- Flexible working that supports your wellbeing.
- A positive, inclusive culture where growth and development are genuinely encouraged.
What’s on offer? Our people are our greatest strength, and we’re committed to helping you grow, stay curious, and thrive. At believe housing, we’ve created a supportive, inclusive culture where ideas are welcomed and development is encouraged. Our customers are at the heart of everything we do, and we know that great experiences start with empowered colleagues. That’s why we offer a comprehensive range of benefits designed to support your wellbeing, motivate you, and help you do your best work.
We are a Disability Confident Employer. If you need any adjustments or support throughout the recruitment process, please let us know.
If you wish to find out more about this opportunity contact Steven Douglas, BI Data Warehouse Manager.
Closing date: 11:59pm on Wednesday 18 November 2026.
Data Engineer employer: believe housing
At believe housing, we pride ourselves on being an excellent employer that values flexibility and inclusivity. Our Repairs Team offers a supportive work culture where you can develop your skills in drainage and groundwork while contributing to community satisfaction. With opportunities for personal growth and a commitment to high safety and quality standards, working with us means being part of a team that truly makes a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like believe housing before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like believe housing.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like believe housing.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at believe housing, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to believe housing, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab believe housing’s attention and show the tangible impact of your work.
How to prepare for a job interview at believe housing
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at believe housing.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at believe housing.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at believe housing.
