TalentCo
Data Engineering Lead

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Data Engineering Lead
TalentCo are delighted to be partnering with an established SaaS business at the forefront of secure customer engagement and Conversational AI, looking to hire a high-calibre Data Engineering Lead into their growing product organisation.
The core role of the Data Engineering Lead will be to lead the design, delivery and long-term ownership of a greenfield Databricks Data Lakehouse that will underpin reporting, analytics, AI and customer-facing data products.
You'll build and lead a multidisciplinary data function across engineering, analytics engineering, BI and data quality, while remaining hands-on with architecture and technical direction. You'll also work closely with an external delivery partner during the initial build phase, ensuring knowledge transfer, engineering excellence and a seamless transition to an internally owned platform.
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
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This hire can be based remote-first in the UK, with occasional travel to their HQ (just north of London) as required.
As Data Engineering Lead you will:
- Lead, mentor and grow a multidisciplinary data team spanning Data Engineering, Analytics Engineering, BI and Data Quality.
- Own the architecture and technical direction of a greenfield Databricks Lakehouse platform on AWS.
- Drive delivery across the product roadmap while establishing engineering best practices, platform reliability and operational excellence.
- Partner with internal stakeholders and external delivery teams to successfully build, transition and scale the platform.
- Champion data governance, security, platform performance and cloud cost optimisation across a modern enterprise data estate.
We want to hear from you if:
- You have a hands-on Data Engineering / Architecture background with experience leading data teams and developing high-performing people.
- You have plenty of experience with Databricks, ideally having built or operated a Databricks-based including Delta Lake and Unity Catalog, alongside the AWS data ecosystem.
- You're comfortable providing architectural leadership while remaining technically credible in Python, PySpark and SQL.
- You have experience delivering modern cloud data platforms within Agile product engineering environments.
- You've worked with data governance, compliance and regulated environments, alongside external delivery or consulting partners.


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What do they offer?
- Base salary up to £100k
- Comprehensive benefits package
- Remote-first working with flexible arrangements
- Opportunity to lead a business-critical greenfield Data platform build from day one
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