At a Glance
- Tasks: Design and implement a scalable data architecture using Microsoft Fabric.
- Company: Rapidly growing Wealth Manager with a focus on data innovation.
- Benefits: Competitive daily rate, dynamic work environment, and impactful projects.
- Other info: Opportunity to make a significant impact in a successful organisation.
- Why this job: Join a cutting-edge team and shape the future of data in finance.
- Qualifications: Experience in Wealth Management and strong skills in SQL and Python.
The predicted salary is between 70000 - 90000 £ per year.
We are partnering with a rapidly expanding, PE-backed Wealth Manager. The business has scaled significantly over the last few years, increasing its AUM following a series of successful acquisitions.
Historically, their data environment has been managed by an application development team. They are now separating their data capability to build out a dedicated, specialised data engineering function.
Key Responsibilities:- This role sits between establishing modern data platform architecture and driving execution for a business-critical BAU acquisition integration programme.
- Design and embed a scalable, layered Lakehouse data architecture within Microsoft Fabric.
- Own the automated ingestion, complex transformation, and validation of large incoming financial datasets (transactions, portfolios, and valuations).
- Drive the adoption of core software engineering disciplines into the data space, including version control and robust CI/CD deployment pipelines.
- Partner with Middle Office and Finance stakeholders to build optimised semantic models, enabling trusted self-service analytics via Power BI.
- Establish data quality controls, automated alerting, and clear metadata/data lineage tracking to ensure all reporting remains fully auditable.
- Experience within Wealth/Asset Management is critical.
- Deep, hands-on experience building production-grade data pipelines within Microsoft Fabric and Azure ecosystems.
- Highly proficient in writing performance-tuned SQL and utilising Python for data processing, automation, and testing.
- While very engineering-focused, having an understanding/background in data analysis will be highly beneficial as you will be working cross-functionally; understanding how front-end users interact with data models.
- Experience handling financial datasets (investment transactions, portfolio data, operational finance).
This is a very dynamic role within a highly successful organisation, with the potential to make a huge impact in this firm’s quest to build out its data capabilities.
Data Engineer (Microsoft Fabric) in Slough employer: Goodman Masson
Join a rapidly expanding Wealth Manager that prioritises innovation and employee development. With a strong focus on building a dedicated data engineering function, this role offers the opportunity to work with cutting-edge technology in a collaborative environment that values your contributions. Enjoy competitive daily rates, a dynamic work culture, and the chance to significantly impact the company's data capabilities while advancing your career in the wealth management sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Microsoft Fabric) in Slough
✨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 Goodman Masson 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 Goodman Masson.
✨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 Goodman Masson.
We think you need these skills to ace Data Engineer (Microsoft Fabric) in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Goodman Masson, 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 Goodman Masson, 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 Goodman Masson’s attention and show the tangible impact of your work.
How to prepare for a job interview at Goodman Masson
✨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 Goodman Masson.
✨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 Goodman Masson.
✨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 Goodman Masson.
