At a Glance
- Tasks: Design and develop modern data solutions using Microsoft technologies.
- Company: Join a forward-thinking client in the tech industry.
- Benefits: Competitive daily rate of £400, flexible contract terms.
- Other info: Opportunity to work outside IR35 with potential for career growth.
- Why this job: Make an impact by delivering scalable reporting and analytics capabilities.
- Qualifications: 2-5 years' experience in data engineering and strong Microsoft data stack skills.
Data Engineer (Microsoft Fabric / Azure) | 6-Month Contract | Outside IR35 | £400 per Day
We're supporting a client who is looking for a Data Engineer to join them on an initial 6-month contract, operating Outside IR35, paying £400 per day.
This role will suit someone with experience designing and developing modern data solutions within the Microsoft ecosystem, working closely with both technical and business stakeholders to deliver scalable reporting and analytics capabilities.
Key Skills & Experience
- 2-5 years' experience in a Data Engineer or similar role
- Strong experience across the Microsoft data stack, including:
- Microsoft Fabric
- Azure Data Factory
- Azure Synapse Analytics
- Azure SQL / SQL Server
- Power BI
- Strong understanding of:
- Data warehousing
- Data modelling
- ETL/ELT processes
- Data integration
- Advanced SQL skills
- Ability to engage with stakeholders and translate business requirements into technical solutions
- Strong analytical and problem-solving mindset
Desirable
- Microsoft Certifications:
- Fabric Analytics Engineer Associate
- Azure Data Engineer Associate
- Power BI Data Analyst Associate
- Experience with:
- Python
- DAX
- Power Query M
Contract Details
- Duration: 6 Months
- Rate: £400 per day
- IR35 Status: Outside IR35
Data Engineer (Microsoft Fabric / Azure) employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Microsoft Fabric / Azure)
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Cyber Security training courses before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Cyber Security training courses.
We think you need these skills to ace Data Engineer (Microsoft Fabric / Azure)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Cyber Security training courses, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Cyber Security training courses, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Cyber Security training courses’s attention and show the tangible impact of your work.
How to prepare for a job interview at Cyber Security training courses
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Cyber Security training courses.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Cyber Security training courses.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Cyber Security training courses.
