At a Glance
- Tasks: Design and develop data pipelines using Microsoft Fabric and support Dynamics 365 integration.
- Company: Forward-thinking organisation investing in data, AI, and automation.
- Benefits: Salary up to £65,000, hybrid work, and strong employee development opportunities.
- Other info: Collaborative environment focused on innovation and continuous improvement.
- Why this job: Join a major digital transformation and influence the future of data architecture.
- Qualifications: Experience with Microsoft Fabric, ETL/ELT processes, and Dynamics 365 integration.
The predicted salary is between 50000 - 50000 £ per year.
I'm working with a forward-thinking organisation that is making significant investment in its data, analytics, AI, and automation capabilities. As part of a major digital transformation programme, they are looking to hire an experienced Data Engineer to play a key role in the delivery of a large-scale Microsoft Fabric migration and Dynamics 365 implementation. This is an excellent opportunity to join a business that views data as a strategic asset and is committed to building a modern, scalable data platform that will support advanced analytics, business intelligence, and future AI initiatives.
The successful candidate will work closely with technical and business stakeholders, helping to design, build, and optimise data solutions that drive decision-making across the organisation. You’ll be involved in migrating and modernising existing data workloads into Microsoft Fabric, developing robust ETL/ELT processes, integrating Dynamics 365 and Dataverse data, and ensuring the quality, accuracy, and reliability of data throughout the transformation journey. The role offers exposure to cutting-edge Microsoft technologies and the opportunity to influence the future direction of the company’s data architecture.
Key Responsibilities- Design, develop, and maintain data pipelines within Microsoft Fabric
- Build and manage Lakehouses, Notebooks, and data integration workflows
- Develop efficient ETL/ELT processes to ingest, transform, and deliver data across the business
- Support the migration of legacy data platforms into Microsoft Fabric
- Work closely with teams involved in the Dynamics 365 rollout, integrating and migrating CRM/Dataverse data
- Perform data reconciliation, validation, testing, and troubleshooting to ensure high data quality standards
- Collaborate with stakeholders across technical and non-technical teams to gather requirements and deliver effective data solutions
- Contribute to the ongoing development of data governance, best practices, and platform optimisation
- Support reporting and analytics initiatives by ensuring reliable and accessible data assets
- Strong hands-on experience with Microsoft Fabric, including:
- Data Pipelines
- Lakehouses
- Notebooks
- Advanced SQL and T-SQL development skills
- Proven experience building and maintaining ETL/ELT solutions
- Experience with Dynamics 365, Dataverse, or CRM-related data migration projects
- Strong understanding of data reconciliation, validation, testing, and quality assurance processes
- Excellent problem-solving skills with the ability to diagnose and resolve complex data issues
- Strong communication and stakeholder management experience
- PySpark and/or Python development
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake Storage
- Power BI development and data modelling
- Exposure to AI, Machine Learning, or advanced analytics projects
- Microsoft certifications such as DP-600 or DP-203
- Experience working within large-scale transformation or cloud migration programmes
- Salary up to £65,000
- Hybrid working model with just 1 day per week in Brentford
- Opportunity to work on a high-profile Microsoft Fabric migration programme
- Exposure to cutting-edge data, AI, and automation technologies
- Clear opportunity to influence technical direction and architecture decisions
- Collaborative and supportive environment focused on innovation and continuous improvement
- Strong investment in employee development, training, and certifications
If you’re a Data Engineer with Microsoft Fabric experience looking to join a business at the start of an exciting data transformation journey, I’d be keen to speak with you.
Senior Fabric Engineer in Brentford employer: Nigel Frank
Join a forward-thinking organisation in Brentford that prioritises data as a strategic asset, offering a collaborative and innovative work culture. With a strong commitment to employee development and exposure to cutting-edge technologies, this role provides a unique opportunity to influence the future of data architecture while enjoying a hybrid working model with just one day in the office each week.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Fabric Engineer in Brentford
✨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 Nigel Frank!
✨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 Senior Fabric Engineer at Nigel Frank.
✨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 Nigel Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Fabric Engineer at Nigel Frank, 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 Senior Fabric Engineer in Brentford
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 Nigel Frank, 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 Nigel Frank. 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 Nigel Frank
✨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 Nigel Frank!
✨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.
