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- Tasks: Build and maintain data pipelines in Azure, supporting cloud migration and analytics.
- Company: Dynamic tech company based in London with a hybrid work model.
- Benefits: Flexible day rate, contract role with potential for growth.
- Other info: Limited interview slots available; apply quickly to secure your chance!
- Why this job: Join a fast-paced environment and make an impact on data solutions.
- Qualifications: Hands-on experience with Azure Data Factory, SQL, and Python required.
Location: London (Hybrid - 2 days per week onsite)
Contract Length: Initial 6 months
Day Rate: Flexible (Inside & Outside IR35 rates considered - IR35 status TBD)
Role
You'll be instrumental in delivering and supporting data solutions within Azure, working across pipeline development, cloud migration, and reporting readiness.
Day-to-day responsibilities:
- Building and maintaining data pipelines using Azure Data Factory
- Supporting BAU data engineering activities and resolving issues
- Playing a key role in the migration of SQL Server environments to Azure
- Preparing, transforming, and structuring data for analytics and reporting
- Collaborating with stakeholders to ensure data quality, accessibility, and performance
- Occasionally designing and developing Power BI reports
Key Skills & Experience:
- Strong hands‑on experience across the Azure data ecosystem
- Proven expertise with:
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- SQL (T‑SQL, optimisation, data modelling)
- Python for data engineering tasks
Desirable:
- Experience in environments combining project work and BAU support
- Knowledge of modern Azure data architectures (e.g. lakehouse)
- Awareness of data governance and best practices
Additional Information:
This is a contract role for UK residents only. This role does not offer sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. My client has limited interview slots and they are looking to fill this vacancy by the end of the month. I have limited slots for 1st stage interviews next week, so if you’re interested, contact me directly via email with a copy of your most up‑to‑date CV.
Azure Data Engineer employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the Azure data space and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some practical projects. Build a small data pipeline using Azure Data Factory or create a Power BI report. This not only sharpens your skills but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Be proactive! If you see a job that fits, don’t wait for the perfect moment. Apply through our website and follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Prepare for those interviews by brushing up on common questions related to Azure migrations and data engineering principles. Practise explaining your past experiences clearly and confidently, so you can impress the interviewers.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, SQL, and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Azure Data Engineer role. We love seeing enthusiasm and a bit of personality, so let us know what excites you about working with us.
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled challenges in data engineering or cloud migration. We’re keen on candidates who can demonstrate their ability to resolve issues effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at Nigel Frank
✨Know Your Azure Stuff
Make sure you brush up on your Azure Data Factory and Synapse Analytics skills. Be ready to discuss specific projects where you've built data pipelines or migrated SQL Server environments to Azure. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in data engineering. Whether it's resolving issues during BAU activities or optimising T-SQL queries, having a few solid examples will demonstrate your hands-on experience and ability to think on your feet.
✨Collaboration is Key
Since you'll be working with stakeholders, be ready to discuss how you've ensured data quality and accessibility in past roles. Highlight any experiences where you collaborated with teams to deliver successful data solutions, as this shows you're a team player.
✨Get Familiar with Power BI
Even if it's not your main focus, having a basic understanding of Power BI reporting can set you apart. If you've designed or developed reports before, mention those experiences. It shows you're versatile and willing to go the extra mile!