Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 opportunities for growth and development.
- Why this job: Make a real impact by shaping data strategies and driving innovation.
- Qualifications: Extensive experience with Azure services, SQL, Python, and Power BI.
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 Wales employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer in Wales
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage with online communities. 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 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 crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios and challenges. Be ready to discuss your experience with data pipelines and mentoring others, as these are key aspects of the Lead Data Engineer role.
✨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’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Lead Data Engineer in Wales
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 roles you've had!
Showcase Your Skills: We want to see your SQL prowess and Python skills shine through! Include specific examples of complex queries or data transformations you've tackled in past roles.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share your passion for data engineering and how you can contribute to our team’s success.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your application.
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 a tech whiz 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 Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data engineering standards, architectural decisions, and team dynamics. This not only shows your interest but also helps you gauge if the company is the right fit for you.