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- Tasks: Build and manage data pipelines using Azure technologies and design tailored solutions.
- Company: Leading Microsoft partner driving digital transformation across the UK.
- Benefits: Salary up to £55,000, remote work options, performance bonuses, and healthcare.
- Other info: Flexible working environment with excellent training and career growth opportunities.
- Why this job: Join a people-focused consultancy and make a real impact with innovative data solutions.
- Qualifications: Experience with Azure services, SQL, Python/PySpark, and Power BI.
The predicted salary is between 55000 - 55000 £ per year.
I am working with a leading Microsoft partner that are currently recruiting for a Data Engineer to join their growing team. This organisation is driving digital transformation for a wide range of businesses across the UK, specialising in delivering innovative solutions using the Azure tech stack as well as emerging technologies like Microsoft Fabric. They are known for their consultative approach, working closely with clients to design tailored solutions that improve efficiency, enable self‑sufficiency and accelerate growth. With a strong focus on scalable analytics and advanced business intelligence, they are modernising data platforms to deliver future‑ready solutions.
This is a chance to join a genuinely people‑focused, high‑performing consultancy where you play a trusted role in delivering impactful projects. You will work with a talented, experienced and supportive team and enjoy true flexibility with options to work completely remotely or in office as and when you wish. With a culture built on inclusion and continuous development, this is an environment where your expertise is valued, your ideas are heard and your career can grow.
In this role, you will be responsible for:
- Building and managing data pipelines using Azure Synapse, Data Factory, Databricks, or Microsoft Fabric
- Designing and maintaining data lakes, data warehouses, and ETL/ELT processes
- Developing scalable data models for reporting in Power BI
- Working closely with stakeholders to understand the needs of their individual business and designing tailored solutions to meet these needs
To be successful in this role, you will have:
- Hands‑on experience creating data pipelines using Azure services such as Synapse, Data Factory or Databricks
- Strong understanding of SQL and Python/PySpark
- Experience with Power BI and data modelling
- Commercial experience with Microsoft Fabric would be advantageous
Some of the package/role details include:
- Salary up to £55,000
- Opportunity to work from anywhere within the UK
- Performance‑related bonus scheme
- Pension scheme and private healthcare options
- Enhanced family leave
- Opportunities for training and development, including certifications
This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Data Engineer employer: Nigel Frank
Contact Detail:
Nigel Frank 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 people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would approach building data pipelines or designing data models, and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to join our team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your hands-on experience with Azure services, SQL, and Python/PySpark to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our team. Share specific examples of your past projects that align with our focus on scalable analytics.
Showcase Your Problem-Solving Skills: In your application, mention instances where you've designed tailored solutions for clients. We love seeing how you approach challenges and deliver impactful results!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Stack
Make sure you brush up on your knowledge of Azure services like Synapse, Data Factory, and Databricks. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've designed tailored solutions for stakeholders in previous roles. Highlight your consultative approach and how you’ve worked closely with clients to understand their needs and deliver impactful results.
✨Get Comfortable with SQL and Python
Since a strong understanding of SQL and Python/PySpark is crucial, be prepared to answer technical questions or even solve coding problems during the interview. Practising common SQL queries and Python scripts can give you an edge.
✨Emphasise Continuous Learning
This company values continuous development, so share your enthusiasm for learning new technologies, especially Microsoft Fabric. Mention any relevant certifications or training you've pursued, and express your eagerness to grow within the role.