At a Glance
- Tasks: Join a dynamic team to design and optimise data pipelines for strategic decision-making.
- Company: Reputable national real estate client based in Milton Keynes with a collaborative culture.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a supportive team of 5 data engineers with excellent career advancement potential.
- Why this job: Make a real impact by delivering accurate data solutions that drive business success.
- Qualifications: Experience in Data Engineering, Python, SQL, and strong problem-solving skills.
The predicted salary is between 56250 - 68750 £ per year.
We're looking for a talented and passionate Core Data Engineer to join our highly reputable & national real estate client with their head office based in Milton Keynes.
You'll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines.
You'll work closely with technical specialists to innovate, share ideas and continually enhance team capability.
Your work will support strategic decision‑making across the Group by delivering accurate, timely reporting for all brands and business units.
We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office.
Key Responsibilities
- Apply best practices for data design, ensuring scalable, high‑quality and consistent architecture and modelling.
- Provide timely and accurate root‑cause analysis and resolution within SLA timeframes.
- Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.
- Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.
- Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements.
Continuously optimise for improved data flow, accessibility and security.
- Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation‑wide consistency.
- Apply Agile principles for iterative and collaborative development.
- Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation.
- Support cross‑functional data projects, providing expertise as required.
- Deliver data solutions that support project goals and business outcomes.
- Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption.
- Be part of a team of 5 data engineers.
Experience & Skills Required
- Proven experience in Data Engineering, with strong hands‑on experience in Python, Data Modelling, Data Warehousing.
- Strong background in incident resolution, requests, changes and problem‑solving within SLAs.
- Hands‑on experience with Spark, Data Architecture, SQL and Delta Lake.
- Working knowledge of Medallion Architecture.
- Demonstrated capability in implementing and supporting pipelines in demanding environments.
- Strong communication skills and confidence presenting ideas and technical approaches.
- Willingness to learn, adopt and improve best practices and standards.
- Ability to work effectively in complex, high‑pressure environments using both legacy and modern technologies.
- Strong analytical thinking and attention to detail.
- Experience with Fabric, Azure, JIRA, Confluence, CI/CD, Git Hub and Git Actions.
- Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.
- Experience with development lifecycle processes for data pipelines.
- STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience.
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Data Engineer in Milton Keynes employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Milton Keynes
✨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 Allscreens Nationwide Ltd.
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We think you need these skills to ace Data Engineer in Milton Keynes
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 Allscreens Nationwide Ltd, 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 Allscreens Nationwide Ltd. 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 Allscreens Nationwide Ltd
✨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 Allscreens Nationwide Ltd!
✨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.
