Fruition Group
Data Tech Lead
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Tech Lead
Data Tech Lead / Lead Data Engineer
Location: Leeds – Hybrid Salary: £80,000 to £100,000
Why Apply?
Step into a senior, high-impact data engineering role where you'll shape technical strategy while still working hands-on with tools. As a Lead Data Engineer, you’ll drive the delivery of complex client projects, tackle the hardest problems, and move beyond simple oversight.
This isn’t just a hands-off leadership role—it’s for someone who enjoys getting into the detail and making things work.
Responsibilities
- Own and lead the technical architecture and delivery of scalable data engineering solutions.
- Provide technical leadership, mentorship, and guidance to Data Engineers within delivery teams.
- Design and manage robust data pipelines, data platforms, and warehousing solutions.
- Take a hands-on approach to resolving complex or high-risk engineering components.
- Define and promote best practices for data quality, performance, governance, and security.
- Collaborate with clients, product managers, analysts, and software engineers to translate business needs into data solutions.
- Ensure data platforms meet non-functional requirements such as reliability, scalability, and maintainability.
- Shape engineering processes, tooling, and ways of working across teams.
- Support engineers’ technical development and progression.
- Contribute to the consultancy’s technical communities and quality forums.
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.
Requirements
- Proven experience designing and delivering scalable cloud-based data engineering solutions.
- Expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), and/or GCP (BigQuery, Dataflow).
- Advanced SQL skills, including optimization and performance tuning.
- Strong experience with ETL/ELT pipelines and data transformation frameworks.
- Programming proficiency in Python, Scala, or Java for data processing.
- Deep understanding of data warehousing concepts and best practices.
- Experience maintaining reliable, production-grade data pipelines.
- Excellent stakeholder management and client-facing communication skills.
- Agile delivery experience and the ability to shape team practices.
- Analytical mindset with high attention to detail and quality.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What’s in It for Me?
- Competitive salary and benefits package, including healthcare.
- Opportunities for continuous professional development and technical growth.
- Exposure to diverse projects across industries, building both technical and consulting expertise.
- Mentorship and leadership opportunities within a collaborative engineering community.
- An equal opportunities employer, welcoming applications from all suitably qualified persons regardless of race, sex, disability, religion/belief, sexual orientation, or age.
“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