Jobs / United States / Seccl
Data analytics engineer
Seccl · 🇺🇸 Bath
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Seccl
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Seccl →
About the role
Hybrid working one day per week in our London, Edinburgh or Bath office. About us Seccl is the Octopus-owned embedded investment platform, on a mission to help more people invest, and invest well. We’re building the infrastructure behind the next generation of investing. Our technology already powers some of the UK’s most ambitious fintechs, banks, financial advisers and wealth firms, with close to a million investors relying on Seccl-powered platforms. And we’re now expanding into Europe. We’ve got a proven product, strong momentum and big ambitions for what comes next: helping more household-name brands launch and scale investment propositions, entering new markets and replacing outdated investment infrastructure with technology that’s faster, simpler and built for scale. We’re proud to be part of Octopus, one of the UK’s most successful privately held investment and technology groups. That gives us the backing and long-term perspective to build something substantial, while keeping the pace and energy of a high-growth business. Seccl and Octopus are both B Corp certified and share a belief that profit and purpose should go hand in hand. If you want to help shape the future of investing in the UK and across Europe, you’ll be in good company. Check out the Seccl website to see what we’re building and read more about our mission to shape the future of investments. The role Seccl is growing fast, and so is the opportunity to make better use of our data. Our Data Engineering team has built strong foundations for reliable, scalable data delivery, and we’re now expanding our capabilities to make that data more accessible, actionable, and valuable to our teams and clients. As a Data Analytics Engineer, you’ll sit at the intersection of data engineering and analytics. You’ll use strong software engineering and data modelling practices to develop production-quality datasets, while working closely with stakeholders to understand how data can help solve real business problems. You’ll also help us evolve how data moves through our platform, including opportunities to work with streaming and event-driven technologies as we move towards more timely and incremental data processing. On a typical day you will be… • Designing, building, and maintaining robust data models using SQL and DBT, transforming complex source data into clear, reusable datasets for analytics and downstream consumers • Working with Product managers, Engineers, Operations, and client-facing teams to understand requirements, clarify business logic, and translate problems into scalable data solutions • Helping define and maintain consistent metrics, modelling standards, and analytical best practices across the business • Supporting our journey towards more real-time and incremental data processing, including working with technologies such as MongoDB change streams, Kafka, and AWS MSK • Helping teams become more self-sufficient with data by making datasets understandable, well documented, and easy to consume You’ll be successful in this role if you… • Have strong SQL and data modelling skills and are comfortable transforming large, complex datasets into reliable, reusable analytical models • Have experience with Python and modern analytics engineering tooling such as DBT, including testing, documentation, version control, and CI/CD practices • Are familiar with both relational and non-relational database architecture • Understand dimensional modelling and how to design datasets that are intuitive and effective for analytics, BI, and downstream data products • Have experience working with cloud data platforms and services, ideally within AWS • Ideally have experience with event-driven or streaming data architectures, particularly Kafka/AWS MSK, Mong