At a Glance
- Tasks: Design and maintain scalable data pipelines using Azure tools.
- Company: Join a leading organisation with a growing data capability.
- Benefits: Earn up to £61,000 with flexible working and great lifestyle perks.
- Other info: Exciting career progression opportunities in a dynamic data team.
- Why this job: Shape the future of data while collaborating in an innovative environment.
- Qualifications: Experience in Microsoft Azure and strong SQL skills required.
The predicted salary is between 61000 - 61000 £ per year.
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.
Data Engineer employer: IMT Resourcing Solutions
Join a forward-thinking organisation that prioritises information security and compliance, offering a collaborative work culture where your expertise as a GRC Analyst will be valued. With a focus on employee growth, you will have access to ongoing training and development opportunities, particularly in the latest Microsoft security tools and frameworks. Located in a vibrant area, this role not only provides meaningful work but also the chance to make a significant impact within the organisation's security landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like IMT Resourcing Solutions!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at IMT Resourcing Solutions.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like IMT Resourcing Solutions.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at IMT Resourcing Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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 IMT Resourcing Solutions, 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 IMT Resourcing Solutions. 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 IMT Resourcing Solutions
✨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 IMT Resourcing Solutions!
✨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.
