Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise data platforms using Microsoft Fabric for advanced analytics.
- Company: Join Uniserve, a forward-thinking company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by building scalable data solutions that drive decision-making.
- Qualifications: Experience in data engineering with skills in Python, SQL, and Scala.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Uniserve is seeking an experienced Data Engineer to join our team and play a pivotal role in designing, building, and optimising our enterprise data platform using Microsoft Fabric. This is a high-impact role for someone passionate about building scalable, secure, and high-performance data solutions that enable advanced analytics and data-driven decision-making across the organisation.
Key Responsibilities
- Design and implement scalable data architectures using Microsoft Fabric (Lakehouse, OneLake, Spark, Delta Lake).
- Build and optimise complex data pipelines across the Medallion Architecture for analytics-ready data.
- Develop reusable data models, semantic layers, and curated datasets for enterprise-wide use.
- Write production-grade code in Python, SQL, and Scala, following best practices for modularity, testing, and performance.
- Implement and enforce data governance, lineage, and metadata standards (Microsoft Purview).
- Drive adoption of CI/CD, version control, and DevOps practices for data engineering workflows.
- Monitor and resolve performance bottlenecks in Spark jobs and large-scale queries.
- Collaborate with architects, analysts, and business leaders to align data solutions with strategic goals.
- Evaluate and introduce new tools, frameworks, and patterns for scalability and maintainability.
- Contribute to platform reliability, cost optimisation, and security using architectural best practices.
Data Engineer employer: Uniserve Group
Contact Detail:
Uniserve Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those using Microsoft Fabric. This gives you a chance to demonstrate your expertise and passion for building scalable data solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills in Python, SQL, and Scala. Practice common data engineering problems and be ready to discuss how you've tackled performance bottlenecks in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Fabric, data architectures, and any relevant programming languages like Python, SQL, and Scala. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've designed or optimised data solutions. If you've built scalable data pipelines or implemented CI/CD practices, let us know! Real-world examples help us understand your impact and expertise.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point—no fluff!
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application goes straight to us, and we can review it promptly. Plus, it shows you're keen on joining our team at Uniserve!
How to prepare for a job interview at Uniserve Group
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft Fabric, Python, SQL, and Scala. Brush up on your knowledge of data architectures like Lakehouse and Medallion Architecture. Being able to discuss these technologies confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially around optimising data pipelines or resolving performance bottlenecks. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand Data Governance
Familiarise yourself with data governance principles, especially those related to Microsoft Purview. Be ready to talk about how you’ve implemented data lineage and metadata standards in past projects, as this is crucial for the role.
✨Collaborate and Communicate
Since collaboration with architects, analysts, and business leaders is key, think of examples where you’ve successfully worked in a team. Highlight your communication skills and how you align technical solutions with business goals to demonstrate your fit for the role.
