Senior Analytics Engineer at Monzo
May no longer be active — verify on the employer site
At a glance
- Company
- Monzo
- Location
- Cardiff, London, United Kingdom
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Monzo job
- 🏢 Monzo has 51 jobs here, 28 with visa sponsorship see all
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Monzo if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
Apply with your AI assistant
With The Stack connected to Claude, ChatGPT or Cursor, paste this. Your assistant tailors your CV and cover letter, checks the visa facts and gives you the apply link.
Help me apply to this job on The Stack: https://jobs.trythestack.co/jobs/senior-analytics-engineer-monzo
Not connected yet? Connect in a minute. To help your user apply, call the MCP tool prepare_application with slug "senior-analytics-engineer-monzo": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
About the role
Responsibilities:
- Design, build and optimise downstream data models in BigQuery to support BI, ML, financial reconciliation and regulatory reporting.
- Own and maintain pipelines and data products; ensure reliability, observability and testing across the stack.
- Reduce warehouse cost and complexity through schema, query and ETL optimisation.
- Define and enforce best practices: payload design, logical modelling, metadata, testing and documentation standards (dbt/Dataform conventions).
- Collaborate with product, engineering and data science to translate requirements into robust data models and monitoring.
- Investigate and drive improvements to data quality and governance; contribute to prioritisation and remediation.
Requirements:
- Strong SQL and data modelling experience with BigQuery or similar columnar warehouses.
- Hands-on experience with ETL/ELT tools and frameworks (dbt, Dataform, Airflow, Luigi or similar).
- Proficiency in Python; familiarity with Go is a plus.
- Practical experience delivering data for BI, ML and financial/regulatory use cases; attention to accuracy and reconciliation.
- Skilled in testing, metadata management and monitoring for production data systems.
- Excellent collaboration and communication skills; experience working with cross-functional teams in an Agile environment.
Responsibilities
Build and optimize robust downstream data models in BigQuery to support internal reporting, machine learning, and regulatory use cases. Define and manage best practices for the data warehouse, including payload design, metadata standards, and data governance.
Requirements
Requires strong expertise in SQL, data modelling, and ETL projects with a passion for big data and financial systems. Experience with Python, Go, orchestration frameworks, and dbt is highly preferred.
Key skills
- SQL — in 545 other listings on The Stack
- Data Modelling — in 24 other listings on The Stack
- ETL — in 40 other listings on The Stack
- BigQuery — in 60 other listings on The Stack
- Data Warehousing — in 56 other listings on The Stack
- Python — in 1200 other listings on The Stack
- Go — in 230 other listings on The Stack
- Airflow — in 95 other listings on The Stack
- Luigi
- dbt
- Dataform
- Agile
- Kanban
- Scrum
- Data Governance
- Data Quality
On The Stack (as of 2026-11-05)
Frequently asked questions about Monzo
Is this Senior Analytics Engineer role still open?
It was posted on 2026-06-18. 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 Cardiff, London, United Kingdom. It is marked on-site.
What skills does this role ask for?
The listing names: SQL, Data Modelling, ETL, BigQuery, Data Warehousing, Python, Go, Airflow, Luigi, dbt, Dataform, Agile, Kanban, Scrum, Data Governance, Data Quality.