Invecta
Senior Data Engineer

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Senior Data Engineer | London | Specialty Insurance
Invecta is working exclusively with a specialty insurer to build out a data engineering and AI transformation team. The Senior Data Engineer will help design, deliver and embed modern data engineering and analytics capability within the pricing and analytics function.
This is a high-impact role, central to the organisation's ambition to become a genuinely data-driven business, where analytical insight underpins pricing, portfolio analytics and wider business decision-making.
The successful candidate will operate as an embedded member of a small, senior pricing and analytics team, with a particular focus on the Snowflake data platform, hands-on delivery, and the ongoing development of team capability.
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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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
The work centres on Snowflake: the ETL pipelines, analytical datasets, dashboards and APIs that pricing actuaries and analysts rely on, plus proofs of concept for what's next.
Candidate Requirements
- Hands-on data engineering experience, ideally including exposure to Snowflake or a comparable cloud data platform.
- A pragmatic, delivery-focused mindset, paired with genuine curiosity about modern data technologies.
- Comfortable operating within an embedded team model with evolving priorities, rather than a fixed, long-range plan.
- Strong communication skills, with the ability to engage effectively with stakeholders from both technical and business backgrounds.
- A proactive approach to knowledge sharing, coaching and capability building.
- Experience operating within the insurance domain is essential to be considered for this position.


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This is a permanent, hybrid role based in London (City), requiring office attendance multiple days per week.
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