Sanderson
Data Engineering Lead

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The Opportunity
We are looking for a Data Engineering Lead to join our Data & Insight team at an exciting time of transformation and growth. This role offers the opportunity to take ownership of a rapidly evolving data platform while leading a talented team of Data Engineers and helping shape the future direction of the organisation's data strategy.
You will own the Databricks platform, lead the migration from AWS Redshift and play a key role in major transformation programmes whilst balancing leadership and hands-on technical delivery.
The Role
Lead the Data Engineering function, support modern cloud data platforms, drive platform stability and performance, and collaborate across technology and business teams.
Key Responsibilities
- Lead, mentor and develop Data Engineers
- Own and evolve the Databricks platform
- Lead migration from AWS Redshift to Databricks
- Build and optimise data pipelines and data models
- Support transformation programmes
- Champion engineering best practices
- Collaborate with technical and business stakeholders
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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About You
You'll be an experienced Data Engineering professional with a passion for building high-performing teams and delivering robust, scalable data solutions. You'll have a strong technical foundation and enjoy remaining close to the technology, whilst also providing leadership, coaching and strategic direction to those around you.
Essential Skills & Experience
- Strong commercial experience within Data Engineering, Data Platform or Data Architecture environments
- Previous experience leading, mentoring or managing Data Engineering teams
- Strong SQL and Python development skills
- Experience designing, building and supporting modern cloud-based data platforms
- Strong Databricks experience and an understanding of Lakehouse architecture
- Experience delivering scalable data pipelines, ETL/ELT processes and data products
- Strong understanding of data modelling, data governance and data quality principles
- Experience working closely with business stakeholders and translating requirements into technical solutions
- Strong communication and stakeholder management skills
- Experience working within Agile delivery environments


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What's on Offer
- £75,000 - £90,000 salary
- Bonus
- Hybrid working
- Pension up to 11% employer contribution
- Healthcare and wellbeing benefits
- Ownership of the Databricks platform
- Strong progression opportunities
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