Senior Analytics Engineer

The Company:

Stream is on a mission to bring better financial wellbeing to frontline workers.

We partner with some of the world’s most famous employers, like Bupa, Burger King, Green King and the mighty NHS to give their teams access to fairer financial services - all built around flexible pay. Over three million people can now choose how often they’re paid, track their shifts and earnings, start saving, use budgeting tools, get free financial coaching, and access fairer financial products. All in one financial wellbeing super-app.

Stream is unique: VC-backed and growing at scale-up pace, but with a social conscience. Some of the world's leading financial charities and impact funds were our founding investors, and we operate on a social charter - which means every product we build has to improve financial health and reduce the $5.6bn ‘premium’ lower-income earners pay for financial services each year.

You’d be joining a team of over 200 passionate, ambitious people, across Europe and the USA, building a category-leading fintech product and all united by that same mission.

The Opportunity:

Our Operations team sits at the heart of Stream, ensuring we fight financial crime, support vulnerable customers, and deliver an excellent experience to millions of frontline workers. Right now, Ops lacks a dedicated senior data partner. Reporting relies on a combination of sources, and some processes are spreadsheet-dependent, which can make it challenging to gain a unified view of performance.

That’s where you come in.

As a Senior Analytics Engineer embedded in Ops, you won’t just build dashboards; you’ll own the data foundations for Operations. You’ll model FinCrime activity, client interactions, and support service levels in dbt, implementing testing and governance practices, and work directly with Ops leadership and the Data team to design reporting that drives regulatory compliance and service improvement.

This role is high-impact and highly visible: your work will be instrumental in ensuring Stream can scale while protecting customers, staying compliant, and giving world-class service.

The Team:

You’ll be the primary data partner for Operations, working day-to-day with Ops leadership and stakeholders across FinCrime, Support, Client Success, and TechOps. At the same time, you’ll sit within the central Data function, reporting to the Head of Data, where you’ll help shape standards, improve data quality, and mentor others as the team grows.

Our stack includes Snowflake, dbt, and Sigma. We value pragmatic engineering, robust data models, and governance-first thinking. You’ll have opportunities to contribute to wider initiatives in forecasting and AI-driven insights alongside the Data team.

What will you be doing?

• Leading the design and build of Ops data models in dbt, in domains such as FinCrime, TechOps and Customer Support.
• Creating governed, auditable pipelines to replace fragile spreadsheets.
• Partnering with Ops leadership to define metrics and build strategic dashboards that inform compliance, client reporting, and operational strategy.
• Establishing testing, documentation, and governance practices across Ops data.
• Acting as the Ops data owner, shaping the roadmap for data improvements and surfacing risks/issues early.
• Contributing to central Data initiatives (quality, lineage, forecasting, AI insights).

What experience might you have?

Must-haves: (But if you’re close… we'd still love to talk to you!)

• Strong SQL and analytics engineering experience, ideally in a modern stack (dbt + cloud warehouse).
• Track record of owning data domains end-to-end (from ingestion/modeling to BI dashboards).
• Experience working with business leaders and translating ambiguous needs into structured data solutions.
• Strong focus on data quality, testing, and governance.
• Ability to balance quick delivery with building scalable foundations.

Can-be-learnts:

• Modern Data Platform practices – deepen your expertise in dbt, data quality automation, and scalable governance as we evolve our central data stack.
• Applied AI – work alongside the Data team on conversation insight, forecasting, and other AI/ML initiatives that directly impact customer outcomes.
• Broader Operations domain knowledge – from FinCrime to Vulnerable Customers to Collections, you’ll gain exposure to the inner workings of Ops in a fast-scaling fintech.
• Fintech industry expertise – learn how data underpins compliance, client reporting, and product adoption in a sector shaping the future of financial wellbeing.

Within 1 month you’ll have:

• Taken ownership of key Ops data models and dashboards, building familiarity with our stack and business priorities.
• Delivered improvements to an existing Ops report (e.g., Support SLA or Vulnerable Customers) to demonstrate quick impact.
• Established yourself as the go-to data partner for Ops leaders, helping triage and prioritise requests into a structured backlog.

Within 3 months you’ll have:

• Designed and implemented new dbt models for an Ops-critical domain (e.g., FinCrime activity, TechOps throughput, Client Success metrics).
• Partnered with Ops leadership to define and document key KPIs, turning ambiguous needs into standardised, trusted metrics.
• Replaced a fragile spreadsheet-driven process with a resilient, governed pipeline, improving reliability and compliance.

Within 6 months you’ll have:

• Fully embedded as the Ops data owner, shaping the roadmap for data improvements and surfacing insights that influence strategy.
• Delivered a suite of resilient dashboards that underpin regulatory compliance, client reporting, and operational performance.
• Collaborated with the Head of Data on advanced initiatives (e.g., forecasting accuracy, conversation AI insights), extending Ops’ analytical capabilities.

Working Policy: We operate a hybrid policy with a requirement of 3 days a week in the office

Salary: From £75,000 to £90,000 (depending on experience) + Equity

What will we do for you?

• 25 Days Annual Leave in addition to public holidays (up to 5 day rollover), as well as flexible time off allowances for any ad-hoc childcare/family/caring needs
• 24 weeks' paid Maternity Leave and 4 weeks paid Paternity Leave for employees with over 12 months service
• Special Leave for In Vitro Fertilisation (IVF) and other fertility treatments
• Sabbatical scheme
• Paid leave to volunteer
• Private Healthcare including comprehensive mental and physical healthcare
• Salary sacrifice to pension, as well as bonus exchange to Pension: reap even more rewards of any bonus by paying into your pension & save on Tax and NI + added compound growth
• Season Ticket Loan
• Access to Salary Sacrifice Schemes via ThanksBen: THE Benefits marketplace. Choose the benefits you want, when you want. Pay less tax, receive more value, including: Workplace nurseries, Cycle to Work, Home and Tech Scheme and more.
• The best benefit of all, access to Stream!

At Stream we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Stream is an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, or veteran status.