At a Glance
- Tasks: Design and maintain data pipelines for a leading housebuilder's data architecture.
- Company: Join Bellway, one of the UK's top housebuilders, in a dynamic IT team.
- Benefits: Enjoy competitive salary, car allowance, bonus, and 25 days holiday.
- Other info: Great career growth opportunities and a collaborative work environment.
- Why this job: Shape data management and make a real impact on business decisions.
- Qualifications: Expertise in SQL, programming, and experience with AWS/Azure required.
The predicted salary is between 50000 - 65000 £ per year.
Bellway is looking for an experienced Data Engineer to join our Group IT team in a newly created role based at our Head Office in Woolsington, Newcastle upon Tyne.
This is an exciting opportunity to play a key part in shaping how data is structured, managed and used across one of the UK's leading housebuilders.
As Bellway continues to invest in technology, systems and insight, this role will be central to the design, support and ongoing development of our Data Lake and wider data architecture.
You will help build robust, scalable data pipelines, improve data quality and support the delivery of trusted information that enables better decision making across the business.
The Role
Reporting to the Group IT Director, you will take responsibility for designing, creating, supporting and maintaining data pipelines from multiple sources into a Microsoft-based Data Lake.
Working closely with colleagues across Group IT, FP&A, software development, infrastructure, reporting and external partners, you will translate business needs into reliable, scalable and efficient data solutions.
This is a senior, hands‑on technical role with strong stakeholder visibility.
You will have the opportunity to influence how Bellway manages and uses data, ensuring our data platforms are well designed, well governed and able to support future business requirements.
We are looking for a confident and technically strong Data Engineer who enjoys solving complex data challenges and working closely with stakeholders to deliver practical, high‑quality solutions.
You will bring strong analytical capability, excellent communication skills and the ability to explain technical information clearly to both technical and non‑technical audiences.
- Principal Accountabilities
- Pipeline Development
- The design, creation, support and maintenance of robust, scalable, pipeline architecture from multiple diverse sources into a MS based data lake.
- Data Architecture
- The design, construction, support and maintenance of multiple data systems, mainly MS SQL databases.
- Data Quality
- Responsible for ensuring the quality and integrity of complex data sets to meet the functional and non‑functional business requirements.
- Cloud Integration
Responsible for building, maintaining and supporting the data solutions to (optimally) extract, transform and load large amounts of data within AWS and Azure cloud infrastructure.
- Collaboration
- Extensive partnerships with software developers, data scientists, infrastructure engineers, report writers/dashboard designers and end users.
Experience
Essential
- Expert knowledge of SQL and programming knowledge e. g. Python, Java, C# etc.
- Experience and knowledge of Databricks and ETL tools such as Azure Data Factory.
- Extensive experience with MS SQL Server.
- Proven hands‑on experience working within AWS and Azure environments.
Desirable
- Proficient in working and supporting cross‑functional teams.
- Experience working with financial systems.
Qualifications & Training
- A degree in Computer Science or a related field.
Skills & Aptitude
- Effective analytic skills to troubleshoot complex data related issues.
- Confident communication skills at both a technical and a non‑technical level
- Working Conditions
- Office based role.
- Occasional ad‑hoc travel to regional meetings or to partners offices.
- In Return We Can Offer You
- Competitive salary
- Competitive car allowance
- Optional salary sacrifice car scheme
- Competitive annual bonus
- Contributory pension scheme
- 25 days holiday, plus bank holidays
- Access to discounts and benefits portal
- Share Save Scheme
- Cycle to Work Scheme
- Life assurance
- Holiday Purchase Scheme
- Earn and Learn Opportunities
We reserve the right to close this vacancy if a large volume of applications are received.
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Data Engineer employer: Bellway Homes
Bellway Homes is an exceptional employer, offering a dynamic work environment where innovation and growth are at the forefront. With a strong focus on employee development, you will have the opportunity to lead a talented team while contributing to our ambitious plans for expansion in the Eastern Counties. Our supportive culture fosters collaboration and provides clear pathways for career advancement, making it a rewarding place to build your future in the housebuilding industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Bellway Homes.
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We think you need these skills to ace Data Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Bellway Homes, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Bellway Homes. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Bellway Homes
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Bellway Homes!
✨Prepare for Case Studies
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.
