At a Glance
- Tasks: Build and optimise data pipelines and platforms for accurate data across BRUSH Group.
- Company: Join BRUSH Group, a leader in energy solutions committed to sustainability.
- Benefits: Enjoy competitive salary, 26 days holiday, flexible working, and professional development.
- Other info: Dynamic environment with opportunities for career growth and continuous learning.
- Why this job: Make a real impact on sustainable projects while developing your data engineering skills.
- Qualifications: Degree in data engineering or related field; strong SQL and Microsoft Fabric knowledge.
The predicted salary is between 63000 - 77000 £ per year.
About The Role
Why choose us?
BRUSH Group provides the energy solutions that help power our built world. From power transformers to switchgear and engineering solutions, for generations, the
BRUSH brand has stood for engineering excellence.
We are committed to supporting the global effort for industrial decarbonisation and sustainable development and have set ambitious objectives to achieve our target of net zero greenhouse gas emissions by 2050.
What's the role?
The Data Engineer, working within the Group IT Data & AI team, is responsible for building, maintaining and optimising reliable data pipelines and data platforms that make accurate, governed data available across BRUSH Group.
Working with business and technical stakeholders, the Data Engineer will connect source systems, transform and structure data through the medallion architecture, and deliver trusted data products within Microsoft Fabric.
This is a hands-on delivery role owning the data platform, combining strong data engineering expertise with a focus on security, quality, documentation and continuous improvement
Key Responsibilities
- Design, build, test and maintain reliable data pipelines that ingest data from ERP, operational and third-party systems.
- Develop and maintain the Microsoft Fabric data platform using appropriate lakehouse/warehouse, pipeline and transformation capabilities.
- Implement processes to ensure data is accurate, complete and timely.
- Apply data governance, naming, metadata, retention and classification standards across the platform.
- Translate business and reporting requirements into scalable technical designs and well-defined data products.
- Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases.
- Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency.
- Evaluate new Microsoft Fabric capabilities and recommend adoption where they provide demonstrable business value.
- What are we looking for
- Degree or equivalent professional experience in data engineering, computer science, software engineering, mathematics or another relevant technical discipline.
- Evidence of continued professional development in modern data engineering, cloud data platforms and development practices.
- Microsoft certification, such as Fabric Analytics Engineer Associate, Azure Data Engineer Associate or an equivalent cloud data qualification. (desirable)
- Strong SQL skills, including querying, transformation, optimisation and troubleshooting across complex datasets.
- Practical knowledge of Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, One Lake and notebooks.
- Ability to design scalable data models and apply medallion architecture, dimensional modelling and reusable data-product principles.
- Experience developing and maintaining a cloud-based lakehouse or data warehouse; Microsoft Fabric is strongly preferred.
- Experience implementing data quality, monitoring, reconciliation, metadata, lineage and role-based access controls.
- Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders.
- Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards.
- What's in it for you
- Competitive salary
- Holiday allowance starting at 26 days per annum plus bank holidays (pro rata for part time roles)
- Flexible and Hybrid working options (role dependant)
- Life insurance - 4 x annual salary
- Enhanced Company Pension scheme
- 24/7 free and confidential Employee Assistance Programme
- GP24 Service - Access to remote, private GP services 24/7, 365 days a year plus Second Medical Opinions.
- BRUSHRewards - Discover plenty of ways to get more active and make great savings on everyday essentials as well as gifts for loved ones, holidays and special treats for yourself.
- Family friendly policies including Enhanced Maternity/Paternity
- Bike2work scheme
- Long Service Awards
- Developing our people is important to us - we support and encourage development by offering ongoing professional development and training.
About The Company
BRUSH Group provide agile and adaptive engineering solutions and products, including consultancy services, design, and project management as well as award-winning product technology, to a wide range of projects.
A chosen partner for national and regional power generation and distribution network operators, through innovation and a commitment to delivering solutions that address grid-resilience and drive system change, we support the global drive to net-zero, helping create a future-proof Infrastructure.
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Data Engineer in Loughborough employer: BRUSH
BRUSH is an attractive employer due to its commitment to sustainability and innovation in engineering. The company provides opportunities for professional development and encourages collaboration across teams, making it a great place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Loughborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like BRUSH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at BRUSH.
✨Leverage Professional Networks
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 BRUSH.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at BRUSH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer in Loughborough
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 BRUSH, 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 BRUSH. 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 BRUSH
✨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 BRUSH!
✨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.
