UST
Lead Data engineer (Lead II - Data Engineering)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role Description
Location: Leeds, W. Yorkshire (Hybrid - 3 days working from onsite - Mandatory)
Immediate start
Permanent/ Contract inside IR35/ Fixed term contract
Applicants legally authorized to work in the United Kingdom without the need for visa sponsorship preferred
We’re looking for a Lead Data Engineer to join our client's Data Team. As the most senior engineer working across a number of squads, you’ll blend hands-on engineering with providing technical leadership and mentorship to data engineers.
You will work closely with Product Managers, Visualisation Engineers, Data Analysts, Data Architects, and other stakeholders to deliver reliable, high-quality data products that drive client’s strategic objectives. Additionally, you’ll play a central role in championing best practices and fostering continuous improvement, actively contributing within our Agile community of practice.
Your Role (Key Responsibilities)
- Provide technical mentorship and direction to data engineers, helping to elevate team capability and maintain engineering standards, but also maximise their potential and promote career growth.
- Foster a DevOps culture of “you build it, you run it, you own it”, promoting autonomy and ownership across the engineering organisation.
- Lead best practices in data engineering, code reviews, and development activities, ensuring the highest quality standards.
- Contributing to the Lead Engineer & Agile communities of practice. Ensuring data quality and integrity.
- Work with structured, semi-structured, and unstructured data with varying latencies, from batch through to real-time.
- Ensure engineering solutions comply with architectural frameworks and best practices defined by Data Architects.
- Collaborate with Product Managers and Data Analysts to ensure business requirements are translated into scalable, performant data solutions.
- Evaluate and recommend new technologies and tools to enhance data engineering capabilities.
- Balance hands-on engineering responsibilities with technical leadership to drive high-quality delivery.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You (Experience & Qualifications)
- Proven experience building and maintaining high-quality, secure data solutions.
- Skilled in operating scalable and high-performance applications in production environments.
- Prepare to be tenacious and collaborate to drive the right solutions forward.
- Have a good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience.
- Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.).
- Experience with Azure based solutions such as Azure Data Factory.
- Extensive experience with languages such as Python, SQL and, preferably, PySpark.
- Version control and best practices using Github.
- Experience in working with Agile frameworks such as Scrum, Kanban, Lean.
- Excellent communication skills, with the ability to clearly explain technical concepts to non-technical business stakeholders.
- Demonstrated experience leading and mentoring data engineers.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Interested in joining a high-performing data engineering team? Apply today for a confidential discussion with our Talent Acquisition team.
#UST
Skills
SQL, Python, Microsoft Azure, Azure Data Factory, Databricks
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location