At a Glance
- Tasks: Design and build data pipelines using Microsoft Fabric for a major data transformation.
- Company: Leading UK law firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid working, and a strong benefits package.
- Other info: Collaborative team environment with opportunities for professional growth.
- Why this job: Join a high-profile project and gain hands-on experience with modern data platforms.
- Qualifications: Experience with Microsoft Fabric, SQL, and data pipeline development.
The predicted salary is between 50000 - 50000 £ per year.
About the Opportunity
SF Partners are partnering with a leading UK law firm to hire a Data Engineer with Microsoft Fabric experience to support a major data transformation programme. The business is moving away from SAP BW and building a modern data platform on Microsoft Fabric, and this role will be central to that journey. This is an opportunity to work hands-on with Fabric in a real enterprise environment - helping shape the platform, pipelines, and reporting layer from the ground up.
The Role
You’ll play a key role in designing and delivering data solutions within Microsoft Fabric, working closely with both technical teams and business stakeholders. This role is ideal for someone who already has exposure to Fabric (or strong Azure experience with hands-on Fabric work) and wants to deepen their expertise in a high-impact environment.
Key Responsibilities
- Design and build data pipelines within Microsoft Fabric (Data Pipelines, Dataflows, OneLake, Lakehouse)
- Support the migration from SAP BW into a Fabric-based architecture
- Develop and optimise ETL/ELT processes using Fabric and/or Azure Data Factory
- Build and maintain scalable data models to support reporting and analytics
- Contribute to a gold-standard reporting layer (Power BI semantic models)
- Work with stakeholders across Finance, HR, and Commercial teams
- Ensure strong data governance, security, and GDPR compliance
- Document processes and support best practices across the data team
What We’re Looking For
- Experience working with Microsoft Fabric
- Strong SQL skills and experience working with large datasets
- Experience building data pipelines and working with lakehouse architectures
- Knowledge of Azure tools such as Data Factory and/or Fabric Data Pipelines
- Experience with Python or PySpark for data transformation
- Understanding of data modelling (dimensional modelling, medallion architecture)
- Strong communication skills and ability to work with non-technical stakeholders
Desirable
- Experience migrating from legacy systems (e.g. SAP BW)
- Exposure to SAP data (HANA, BW, SuccessFactors, etc.)
- Experience with Power BI and semantic models
Why Apply?
- Work on a high-profile Microsoft Fabric implementation
- Play a key role in a large-scale data migration project
- Gain hands-on experience with a modern data platform
- Join a collaborative and forward-thinking team
- Hybrid working and strong benefits package
Data Engineer in Birmingham employer: SF Recruitment
Join our dynamic team as an Internal Sales Manager in Baldock, where you'll thrive in a supportive and fast-paced environment that champions innovation and growth. We offer competitive salaries, performance bonuses, and the flexibility of hybrid working, ensuring a healthy work-life balance while providing ample opportunities for professional development and career advancement. Our collaborative culture encourages creativity and empowers you to make a meaningful impact in expanding our international market presence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Birmingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer in Birmingham
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 SF Recruitment, 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 SF Recruitment. 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 SF Recruitment
✨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 SF Recruitment!
✨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.
