# Staff Analytics Engineer at Monzo

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Architect the Borrowing domain data laye

- **Company:** Monzo (https://jobs.trythestack.co/companies/monzo)
- **Location:** United Kingdom
- **Work arrangement:** Remote
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data Architecture, Analytics Engineering, dbt, BigQuery, CI/CD, Data Governance, Feature Stores, SQL, System Design, Stakeholder Management, Data Modeling, Orchestration, Schema Design, Technical Leadership, API Contracts, ML Pipelines
- **Posted by employer:** 2026-06-24
- **Added to The Stack:** 2026-06-24
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://job-boards.greenhouse.io/monzo/jobs/8013699 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/staff-analytics-engineer-monzo

## About the role

Responsibilities:
- Architect the Borrowing domain data layer at scale, defining patterns for 1,700+ models across multiple products.
- Design and govern production-grade data products with SLAs, ownership, documentation and stable interfaces.
- Lead cross-functional efforts (Product, Engineering, Credit, Data Platform) to shape data contracts and standards.
- Build reusable analytical assets and feature stores to support ML, decisioning and reporting.
- Influence roadmap, mentor analytics engineers, and ensure data architecture aligns with business and regulatory needs.

Requirements:
- Deep expertise in analytics engineering tools and platforms (dbt, BigQuery or equivalent).
- Proven experience designing large-scale data architectures and operationalising data products.
- Strong leadership and stakeholder management skills; able to drive consensus across teams.
- Familiarity with ML pipelines, feature stores, orchestration and CI/CD for data.
- Experience with data governance, SLAs, schema contracts and regulatory reporting (advantageous in lending/credit context).
- Excellent communication and systems-thinking abilities to translate business needs into technical design.

## Responsibilities

Architect and govern the data layer for the Borrowing domain, transforming complex technical problems into scalable data products. Lead the design of reusable feature stores and infrastructure patterns to support analytics, ML, and regulatory reporting.

## Requirements

Requires deep expertise in analytics engineering tools like dbt and BigQuery, with a proven track record of designing large-scale data architectures. Candidates must be able to lead through influence and connect technical data choices to business outcomes in a credit/lending context.

## FAQ

- **Is this Staff Analytics Engineer role still open?** It was posted on 2026-06-24. Listings more than 30 days old may no longer be active, so check Monzo's site before applying.
- **Does Monzo offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Monzo's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked remote.
- **What skills does this role ask for?** The listing names: Data Architecture, Analytics Engineering, dbt, BigQuery, CI/CD, Data Governance, Feature Stores, SQL, System Design, Stakeholder Management, Data Modeling, Orchestration, Schema Design, Technical Leadership, API Contracts, ML Pipelines.

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## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/monzo/jobs/8013699). The Stack does not take applications.
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