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- Tasks: Lead the design of advanced data solutions and mentor junior engineers.
- Company: Join a leading Microsoft partner revolutionising data platforms across the UK.
- Benefits: Enjoy a competitive salary, fully remote work, bonuses, and healthcare options.
- Other info: Be part of a dynamic team with excellent growth opportunities in a thriving industry.
- Why this job: Make a real impact in data engineering while shaping the future of analytics.
- Qualifications: Extensive experience with Azure services, SQL, Python, and Power BI required.
The predicted salary is between 70000 - 90000 ÂŁ per year.
We are seeking a Lead Data Engineer to join a leading Microsoft partner specialising in modernising data platforms and delivering cutting‑edge analytics solutions for organisations across the UK. In this senior position, you will take ownership of designing and delivering advanced data solutions, guiding technical strategy and providing leadership across complex client engagements. You will work closely with stakeholders to understand their business challenges and architect scalable, efficient data platforms that enable self‑service analytics and long‑term growth. This is a hands‑on technical role with the added responsibility of mentoring engineers, influencing best practice and contributing to the direction of data engineering capability within the business.
Responsibilities
- Lead the design and development of end‑to‑end data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric
- Architect, implement and oversee high‑performing data lakes, data warehouses and ETL/ELT processes
- Develop scalable, robust data models for enterprise‑level reporting within Power BI
- Serve as a technical authority, advising clients on best‑fit data solutions tailored to their needs
- Mentor junior and mid‑level data engineers, supporting their technical growth
- Contribute to architectural decisions and data engineering standards across projects
Skills and Experience
- Extensive hands‑on experience with Azure data services such as Synapse, Data Factory, Databricks or Fabric
- Strong SQL skills with experience building optimised, complex queries
- Proficiency in Python and/or PySpark for data transformation and automation
- Strong experience with Power BI and modern data modelling techniques
- Demonstrable experience leading data engineering initiatives or projects
- Excellent communication and stakeholder‑facing skills
What's on Offer
- Competitive salary
- Fully remote working from anywhere in the UK
- Performance‑related bonus scheme
- Pension scheme and private healthcare options
This is just a brief overview of the role. For the full details, simply apply with your CV and we’ll be in touch to discuss it further.
Lead Data Engineer in England employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure services, SQL, and Power BI. 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 your technical knowledge and soft skills. Be ready to discuss your experience with data pipelines and mentoring others. We want to see how you can lead and inspire a team!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the data world.
We think you need these skills to ace Lead Data Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Engineer role. Highlight your experience with Azure services and data engineering projects, and don’t forget to mention any mentoring you've done. We want to see how you fit into our vision!
Showcase Your Skills: When listing your skills, focus on those that match the job description. Strong SQL skills, Python proficiency, and experience with Power BI are key. We love seeing concrete examples of how you've used these skills in past roles.
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 you can contribute to our team. We appreciate a personal touch, so let your personality come through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Nigel Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure data services like Synapse, Data Factory, and Databricks. Brush up on your SQL skills and be ready to discuss how you've used Python or PySpark for data transformation. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to mentor others and lead projects. Prepare examples of how you've guided junior engineers or influenced best practices in previous roles. This will show that you’re not just technically skilled but also a great team player.
✨Understand Stakeholder Needs
Be ready to talk about how you’ve worked with stakeholders to understand their business challenges. Think of specific instances where you’ve tailored data solutions to meet client needs. This shows you can bridge the gap between technical and business requirements.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when designing data pipelines or architecting data platforms. This will help you convey your strategic thinking and technical expertise effectively.