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- Tasks: Design and deliver integrated analytics solutions using Microsoft Fabric's cutting-edge Spark ecosystems.
- Company: Join Simpson Associates, a leading UK consulting team in data engineering.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact with innovative data solutions and collaborate with talented teams.
- Qualifications: Experience in data engineering, Microsoft Fabric, and strong programming skills in PySpark and SQL.
- Other info: Dynamic, agile environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Data Engineer – Microsoft Fabric role at Simpson Associates. Join our UK consulting team as an experienced Data Engineer specialising in Spark based data platforms such as Microsoft Fabric or Databricks.
Role
This remote role offers the opportunity to design and deliver integrated analytics solutions using Microsoft Fabric’s cutting-edge Spark ecosystems, including Lakehouse, Data Pipelines, and Power BI. You’ll collaborate closely with our agile delivery team, contributing to technical backlogs, participating in daily stand-ups, and engaging directly with clients to deliver scalable, high-quality data solutions.
Key Responsibilities
- Build and maintain data pipelines, lakes, and warehouses using Fabric and/or Databricks components.
- Implement ETL/ELT processes, data modelling, and analytics workflows to support BI and AI initiatives.
- Serve as a technical expert in the field of data engineering, recognised by both internal teams and customers.
- Provide advanced support across the business through deep expertise in data engineering practices.
- Act as a go-to resource for complex and modern architectural and implementation challenges.
- Deliver high-quality solutions aligned with the latest data engineering methodologies and technologies.
- Contribute to the design and execution of key data functions that drive business and customer success.
- Collaborate with cross-functional teams to prioritise and execute technical backlog items.
- Participate in agile ceremonies including stand-ups, sprint reviews, and customer demos.
- Troubleshoot data issues, optimise performance, and ensure data accuracy and reliability.
- Document architectures, pipelines, and operational procedures for team knowledge sharing.
Required Skills & Experience
- Expertise in Microsoft Fabric specific features: OneLake, Dataflows, Pipelines, and Power BI integration (inc. DirectLake).
- Strong programming skills in PySpark, Python, and SQL.
- Familiarity with Azure cloud services and DevOps tools (Git, CI/CD pipelines).
- Proven experience in agile methodologies and backlog management tools (Jira, Azure DevOps Boards).
- Advanced SQL / SparkSQL skills for querying, modelling, and integration.
Nice to have
- 3+ years in Data Engineering, with at least 12 months of hands-on experience in Microsoft Fabric or Databricks.
Qualifications
- Microsoft certifications such as Fabric Analytics Engineer Associate or Azure Data Engineer Associate (preferred).
- Databricks Certifications
- Reasonable proficiency in English for effective technical and client communication.
Soft Skills
- Strong problem-solving and attention to detail.
- Excellent collaboration and communication abilities.
- Adaptability to fast-paced, agile team environments.
- Proactive mindset with a focus on continuous improvement and value delivery.
The successful candidate will be required to obtain Security Clearance and NPPV Level 3.
Seniority & Employment
- Seniority level: Associate
- Employment type: Full-time
Job function
- Information Technology and Consulting
Industries
- Data Infrastructure and Analytics
- Software Development
- IT Services and IT Consulting
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Data Engineer - Microsoft Fabric employer: Simpson Associates
Contact Detail:
Simpson Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Microsoft Fabric
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Simpson Associates. A friendly chat can sometimes lead to insider info or even a referral, which can give us a leg up in the hiring process.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a personal project using Microsoft Fabric or Databricks and share it on platforms like GitHub. This not only showcases your expertise but also gives us something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your PySpark, SQL, and Azure knowledge. We should be ready to tackle any scenario they throw our way, so practice coding challenges and review common data engineering problems.
✨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 can tailor our approach based on the specific role and company culture, making us stand out even more.
We think you need these skills to ace Data Engineer - Microsoft Fabric
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft Fabric, Spark, and any relevant programming skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving data pipelines or analytics solutions, make sure to mention them. We love seeing real-world applications of your skills, especially if they relate to Microsoft Fabric or Databricks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Simpson Associates
✨Know Your Tech Inside Out
Make sure you brush up on Microsoft Fabric, Spark, and the specific features mentioned in the job description. Be ready to discuss your experience with data pipelines, ETL processes, and any relevant projects you've worked on. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges in the past. Think about specific situations where you optimised performance or resolved data issues. This will demonstrate your analytical thinking and ability to deliver high-quality solutions.
✨Familiarise Yourself with Agile Practices
Since this role involves working in an agile environment, be prepared to discuss your experience with agile methodologies and tools like Jira or Azure DevOps. Highlight your participation in stand-ups and sprint reviews to show that you can thrive in a collaborative team setting.
✨Communicate Clearly and Confidently
As you'll be engaging directly with clients, practice explaining technical concepts in a way that's easy to understand. Good communication is key, so think about how you can convey your ideas clearly while also demonstrating your expertise in data engineering.
