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- Tasks: Deliver data solutions and lead workshops using cutting-edge Azure technologies.
- Company: Join a leading Microsoft Cloud specialist with an inclusive culture.
- Benefits: Enjoy a competitive salary, 25 days holiday, and private health insurance.
- Why this job: Make a real impact in a fast-growing tech company while working remotely.
- Qualifications: Experience in Data Engineering and strong skills in Azure tools and SQL/Python.
- Other info: Collaborative team environment with excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Are you a passionate Data Engineer looking to make a real impact in a fast-growing, values-driven tech company? We’re working with a leading Microsoft Cloud specialist that’s renowned for its inclusive culture, commitment to excellence, and collaborative ethos. This is a fantastic opportunity to join a high-performing agile team where your strengths will be recognised and nurtured. You’ll be hands-on with cutting-edge Azure technologies, helping clients unlock the full potential of their data.
Work Style: Remote-first with occasional travel to client sites and company events
Location: UK-based
Employment Type: Permanent, Full-Time
What You’ll Be Doing:
- Delivering full lifecycle data solutions: acquisition, engineering, modelling, analysis, and visualisation
- Leading client workshops and translating business needs into technical solutions
- Designing and implementing scalable ETL/ELT pipelines using Azure tools (Fabric, Databricks, Synapse, Data Factory)
- Building data lakes with medallion architecture
- Migrating legacy on-prem data systems to the cloud
- Creating impactful dashboards and reports using Power BI
- Supporting and evolving data solutions post-deployment
Requirements:
- Proven experience in Data Engineering or Data Warehouse Development
- Strong hands‑on skills with Azure data tools and SQL/Python
- Knowledge of medallion lakehouse design and large‑scale data integration
- Experience with Power BI or SSIS, SSAS, SSRS, and data modelling
- Ability to write complex queries, stored procedures, and notebooks
- Exposure to MDX/DAX and BI concepts
- A collaborative mindset and strong communication skills
Benefits:
- Competitive salary
- 25 days holiday + monthly home working allowance
- Private health insurance
- Enhanced parental leave and life assurance
- Perks including Perkbox, CycleScheme, and electric car scheme
- A chance to work for a World Class Best Company
- Remote Working
Senior Data Engineering Consultant employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure tools and data solutions. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing ETL pipelines or building data lakes, as this will demonstrate your expertise and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who align with our values. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineering Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your hands-on experience with Azure tools and any relevant projects you've worked on. We want to see how you can make an impact!
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 values align with ours. Don’t forget to mention specific examples of your work that demonstrate your expertise.
Showcase Your Technical Skills: When filling out your application, be sure to include details about your experience with SQL, Python, and any Azure tools you've used. We love seeing candidates who can clearly articulate their technical prowess and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure tools and data engineering concepts. Brush up on your knowledge of ETL/ELT pipelines, medallion architecture, and Power BI. Being able to discuss these topics confidently will show that you’re not just familiar with the tech, but that you can truly leverage it.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you’ve translated business needs into technical solutions or led client workshops. This will demonstrate your ability to think critically and work collaboratively, which is key for this role.
✨Practice Your Communication
Since strong communication skills are a must, practice explaining technical concepts in simple terms. You might be asked to present your ideas or solutions during the interview, so being clear and concise will help you stand out as a candidate who can bridge the gap between tech and business.
✨Research the Company Culture
Take some time to understand the company’s values and culture. They pride themselves on inclusivity and collaboration, so think about how your own values align with theirs. Be ready to share how you can contribute to their positive work environment and support their commitment to excellence.