Signify Technology
Senior Data Engineer

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Senior Analytics Engineer (IC3) Full-time · Hybrid · London, UK Are you an analytics engineer who loves turning messy data into clean, trusted datasets that actually get used? We're building a data platform that powers a fast-growing marketplace — and we're looking for someone to help shape it.
About the role You'll partner with data scientists and business stakeholders to design and build high-quality data models across our finance, payments and shipping domains. A big part of your work will be modernising our Looker setup — refactoring definitions upstream into our data stack to make it simpler, faster and less dependent on manual changes.
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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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.
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.
What you'll be doing Designing and building scalable data models in finance, payments and shipping domains Refactoring Looker models into performant upstream data models and reducing manual overhead Enabling self-service for business users while providing frontline Looker support Owning CI/CD pipelines via GitHub Actions and upholding data quality and governance standards
What we're looking for Strong SQL and Python skills, with hands-on experience in dbt, Databricks, Airflow or Looker Solid analytics engineering fundamentals — data modelling, warehousing, performance optimisation, observability and governance Experience in a marketplace or e-commerce environment, with comfort around metrics like GMV, conversion rates and retention Background working with financial data, reconciliation and regulatory controls Clear communicator who can translate user requirements into technical solutions and work autonomously Experience developing CI/CD pipelines using GitHub Actions


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Why join us? High-impact work on a growing marketplace Genuine influence over the data roadmap Collaborative, curiosity-driven data culture
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