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- Tasks: Build and maintain data pipelines using Azure Data Services in a dynamic environment.
- Company: Join a forward-thinking organisation investing in cutting-edge data capabilities.
- Benefits: Competitive salary, hybrid work model, and opportunities for skill development.
- Why this job: Be part of an exciting journey with Microsoft Fabric and shape the future of data.
- Qualifications: Experience with Azure Data Services and strong SQL skills required.
- Other info: Great career growth potential in a collaborative team atmosphere.
The predicted salary is between 43200 - 64800 £ per year.
IMT Resourcing Solutions provided pay range
This range is provided by IMT Resourcing Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from IMT Resourcing Solutions
Recruitment Partner for Tech & Digital | Founder of Award Winning IMT Resourcing Solutions 🚀
Salary: Up to £61,000
Our client, a leading organisation with a growing internal data capability, is hiring a Data Engineer to support the continued development and integration of modern Microsoft data platforms. This is a strong opportunity to join an expanding in‑house team and play a key role in shaping the future data landscape, with a particular focus on Azure and Microsoft Fabric.
You’ll be part of a collaborative environment where data is central to decision‑making, innovation, and long‑term transformation.
What you’ll do
- Design, build, and maintain scalable data pipelines using Azure data engineering tools
- Support the ongoing integration and adoption of Microsoft Fabric across the organisation
- Develop and optimise ETL/ELT processes for structured and unstructured data
- Work closely with analysts, architects, and stakeholders to deliver reliable data solutions
- Contribute to data quality, performance optimisation, and platform best practices
- You’ll work closely with internal technology and business teams to ensure data platforms are robust, secure, and aligned with strategic goals.
What we’re looking for
- Strong experience as a Data Engineer within the Microsoft Azure ecosystem
- Hands‑on experience with Azure services such as Data Factory, Synapse, SQL, or similar
- Exposure to Microsoft Fabric (or a strong desire to work more deeply with it)
- Experience building and supporting production‑grade data pipelines
- Solid SQL skills and understanding of modern data engineering principles
- The ideal candidate will be proactive, technically curious, and comfortable working in a growing, evolving data environment.
What will you get
- Up to £61,000 per annum
- Flexible working patterns and hybrid working 2 days on site in Gloucester
- 20% pension with excellent lifestyle benefits
- Growing data function with plenty of scope for progression
This position does not offer sponsorship and you must be willing to commute to Gloucester two days per week.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries
IT Services and IT Consulting
Location: Gloucester, England, United Kingdom
Note: Referrals increase your chances of interviewing at IMT Resourcing Solutions by 2x.
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Data Engineer employer: IMT Resourcing Solutions
Contact Detail:
IMT Resourcing Solutions 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 current employees at the company or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Azure Data Services skills. Be ready to discuss how you've used tools like Data Factory and Databricks in past projects. Show us what you've got!
✨Tip Number 3
Don’t just focus on technical skills; be ready to talk about collaboration. Think of examples where you’ve worked with analysts or business teams to deliver clean data. We love a team player!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who want to help shape our data journey.
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 Azure Data Services and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how you can contribute to our data journey. Keep it concise but impactful – we love a good story!
Showcase Your SQL Skills: Since strong SQL skills are a must, make sure to mention specific examples of how you've used SQL in your previous roles. We want to know how you've built data pipelines and tackled challenges in the past.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at IMT Resourcing Solutions
✨Know Your Tech
Make sure you brush up on your Azure Data Services knowledge, especially Data Factory, Synapse, and Databricks. Be ready to discuss how you've used these tools in the past and how they can be applied in the new Microsoft Fabric environment.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess. You might be asked to solve a problem or explain how you would build a data pipeline. Practising common SQL queries and scenarios will help you feel more confident during the interview.
✨Understand the Business Needs
Familiarise yourself with the organisation's goals and how data plays a role in achieving them. Be prepared to discuss how you would collaborate with analysts and business teams to deliver clean, reliable data that meets their requirements.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, the challenges they face with their new Fabric environment, and how you can contribute to shaping best practices from the start.