At a Glance
- 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 £60,000, remote work options, performance bonuses, and healthcare.
- Other info: Flexible working environment with opportunities for training and career growth.
- Why this job: Join a people-focused team and make a real impact on innovative projects.
- Qualifications: Experience with Azure services, SQL, Python, and Power BI.
The predicted salary is between 60000 - 60000 £ per year.
I am working with a leading Microsoft partner that is 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.
Responsibilities- 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
- Work closely with stakeholders to understand the needs of their individual business and designing tailored solutions to meet these needs
- 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
- Salary up to £60,000
- 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 will be in touch to discuss it further.
Data Engineer in London employer: Nigel Frank
Join a leading Microsoft partner as a Data Engineer and be part of a dynamic team driving digital transformation across the UK. With a strong emphasis on flexibility, inclusion, and continuous development, this consultancy offers a supportive environment where your expertise is valued and your career can flourish. Enjoy competitive benefits including a performance-related bonus, private healthcare options, and opportunities for professional growth while working remotely or in the office as you prefer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage 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. We recommend doing mock interviews with friends or using online platforms to get comfortable with the 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 like you!
We think you need these skills to ace Data Engineer in London
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 past projects or achievements that align with the responsibilities listed in the job description.
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like Power BI and Microsoft Fabric. We love seeing candidates who can demonstrate their technical prowess and how they’ve used these tools to solve real-world problems.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get back to you quickly!
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 that highlight your ability to design tailored solutions for clients. Think about specific scenarios where you identified a problem and implemented a data pipeline or model that improved efficiency or reporting.
✨Understand the Business Needs
Research the company and its clients to understand their industries and challenges. During the interview, demonstrate your consultative approach by discussing how you would engage with stakeholders to gather requirements and deliver impactful solutions.
✨Be Ready for Technical Questions
Expect questions on SQL, Python, and data modelling. Brush up on your coding skills and be prepared to solve problems on the spot. Practising common technical interview questions can help you feel more confident.
