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- Tasks: Design and deliver integrated analytics solutions using Microsoft Fabric and Databricks.
- Company: Join a leading data transformation company recognised for positive change.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for purpose-led organisations.
- Qualifications: Experience in data engineering with skills in PySpark, Python, and SQL.
- Other info: Dynamic team environment with a focus on creativity and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Simpson Associates transforms raw data into actionable insights that drive positive change. Our Microsoft data expertise, specialist sector knowledge, and innovative advice are some of the reasons clients choose to work with us. Our mission is to help purpose-led organisations from both the public and private sectors harness data as a lever for change and enable them to realise business value more quickly. We provide a full range of services to support organisations on their data transformation journey, from advisory support and data strategy to developing Data AI solutions and providing managed services.
We are a Microsoft Solutions Partner, holding specialisations in AI Platform on Microsoft Azure, Analytics on Microsoft Azure, Data Warehouse Migration to Microsoft Azure, and Migrate Enterprise Applications to Microsoft Azure. We are proud to be recognised as the winner of the 2024 Microsoft Community Response Partner of the Year award, reflecting our dedication to using technology for positive change. We are also a Databricks partner and an IBM Gold Partner, specialising in Cognos Analytics and Planning Analytics.
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 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.
- Expertise in Microsoft Fabric specific features: OneLake, Dataflows, Pipelines, and Power BI integration (inc. Direct Lake) or expertise in Databricks features: Autoloader, etc.
- 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.
- 3+ years in Data Engineering, with at least 12 months of hands-on experience in Microsoft Fabric or Databricks.
- Microsoft certifications such as Fabric Analytics Engineer Associate or Azure Data Engineer Associate (preferred) or Databricks Certifications.
- Reasonable proficiency in English for effective technical and client communication.
- 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.
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 current employees at Simpson Associates on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Show off your skills in action! If you’ve got a portfolio or GitHub with projects related to Microsoft Fabric or Databricks, share it during interviews. It’s a great way to demonstrate what we can bring to the table.
✨Tip Number 3
Prepare for those technical questions! Brush up on your PySpark, SQL, and Azure knowledge. We want to be ready to tackle any scenario they throw at us, showing we’re the right fit for their data engineering needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the team at Simpson Associates.
We think you need these skills to ace Data Engineer Microsoft Fabric
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your expertise in Microsoft Fabric or Databricks, and don’t forget to mention your programming skills in PySpark, Python, and SQL!
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 your background aligns with our mission at Simpson Associates. Show us your personality and enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's building data pipelines or implementing ETL processes, we want to see what you've done and how it relates to the role.
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 your knowledge of Microsoft Fabric and Databricks features. Be ready to discuss specific components like OneLake, Dataflows, and Pipelines, as well as how they integrate with Power BI. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex data engineering challenges you've faced and how you tackled them. Highlight your problem-solving approach and any innovative solutions you implemented. This is crucial for demonstrating your expertise and adaptability in a fast-paced environment.
✨Get Agile Savvy
Since the role involves working in agile teams, be ready to discuss your experience with agile methodologies and backlog management tools like Jira or Azure DevOps Boards. Share how you've contributed to sprint reviews or daily stand-ups, as this will illustrate your collaborative spirit and understanding of agile practices.
✨Communicate Clearly and Confidently
Effective communication is key, especially when engaging with clients. Practice explaining technical concepts in simple terms, and be prepared to discuss how you ensure data accuracy and reliability. This will help you connect with the interviewers and demonstrate your ability to convey complex information clearly.