To assist in building the organization’s data architecture, analytics engineering procedures, and data products at scale, Monzo is recruiting a Staff Analytics Engineer – Borrowing. This senior-level position is intended for a seasoned analytics engineer who appreciates creating dependable data systems, resolving challenging technical issues, and influencing how teams use data to make better decisions.
With sporadic meetings in London, the position may be headquartered in Cardiff, London, or remotely within the United Kingdom. Qualified foreign experts looking for senior analytics engineering positions in Britain may find Monzo to be an appealing option because it is open to international candidates and claims to be able to sponsor visas and help relocation to the UK.
In addition to performance-based incentive awards and other benefits, the advertised remuneration ranges from £121,600 to £164,600 annually. The role provides an opportunity to contribute to products that impact millions of customers while working on one of Monzo’s most intricate and quickly evolving business areas.
Details of Staff Analytics Engineer Job:
- Job Title: Staff Analytics Engineer Jobs in UK with Visa 2026
- Hiring Organization: Monzo
- Location: London, Cardiff, or UK remote
- Salary: £121,600–£164,600 per year
- Employment Type: Full-time
- Visa Sponsorship: Available
- Relocation Support: Available for eligible candidates
- Work Arrangement: Flexible and remote within the UK
- Learning Budget: £1,000 annually
- Experience Level: Senior / Staff
About Monzo:
Monzo is a digital bank in the UK that aims to make money easier to manage, more accessible, and simpler. What started out as a prepaid card has developed into a comprehensive financial platform that offers joint accounts, savings, investments, pensions, personal and business banking, credit products, and services for younger clients.
These products are supported by a robust data and technology culture. Instead of just selling financial goods, Monzo wants to combine technology and consumer knowledge to solve actual financial problems.
For an analytics engineering professional, this creates an opportunity to work where data, technology, financial services, and customer impact meet.
About the Staff Analytics Engineer Role:
The Staff Analytics Engineer will join Monzo’s Borrowing Analytics Engineering team and report to the Borrowing Data Director.
Borrowing is a particularly complex area of the business, involving multiple products, geographies, credit decisions, risk considerations, and regulatory requirements. The successful candidate will help establish scalable systems that allow teams to turn large volumes of information into reliable data products and useful business insights.
The role involves working closely with analytics engineering, product, engineering, Credit, Data Platform, and senior leadership teams. Rather than focusing only on writing queries, the position requires someone who can think strategically, establish technical standards, guide architecture, and help other engineers become more effective.
Responsibilities for Staff Analytics Engineer Jobs in UK with Visa:
- Shape Borrowing’s data architecture: Assist with designing and developing the data layer that supports over 1,700 models in various products, giving analytics engineering teams scalable and consistent patterns.
- Create high-quality data products by defining precise guidelines for data ownership, contracts, documentation, interfaces, service-level requirements, testing, and dependability.
- Make reusable analytical and feature assets: Find useful signals that can be modeled once and utilized in analytics, machine learning, decision-making, and reporting, such as repayment behavior, affordability, credit activity, and risk indicators.
- Enhance analytics engineering infrastructure: Have an impact on the tools, engineering procedures, and developer expertise that underpin a sizable credit and data organization.
- Enhance cross-product data consistency by creating standard modeling rules and abstractions that facilitate data comprehension and comparison across products and geographical markets.
- Collaborate with technical and business teams: To convert difficult needs into workable technical solutions, collaborate with backend developers, product managers, credit specialists, data platform engineers, and senior leaders.
- Lead through technical influence: Without direct people management, assist teams in making better architectural decisions, setting engineering standards, evaluating designs, removing barriers, and boosting the productivity of other analytics engineers.
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Ideal Candidate Profile:
Monzo is looking for an experienced analytics engineering professional who can think beyond individual queries or datasets and understand how large-scale data ecosystems work together.
Strong candidates are likely to have experience designing data architectures across multiple products or domains and turning ambiguous technical challenges into clear strategies and practical delivery plans.
You should understand how to build genuine data products rather than simply create tables. Experience with data contracts, ownership, documentation, testing, versioning, discoverability, and service-level expectations will be valuable.
Technical experience with dbt, BigQuery or comparable data warehouses, CI/CD, data testing, orchestration, and analytics engineering infrastructure is particularly relevant. The successful applicant should also understand how engineering decisions affect cost, performance, reliability, freshness, and scalability.
Experience creating reusable feature layers for machine learning, dashboards, decision engines, or regulatory reporting would be highly valuable.
Skills and Experience:
Successful applicants should ideally demonstrate:
- strong background in data architecture and analytics engineering.
- familiarity with complicated domains and large-scale data models.
- advanced familiarity with analytics engineering infrastructure and tools.
- knowledge of dbt, BigQuery, or similar technologies.
- knowledge of data quality, testing, orchestration, and CI/CD.
- knowledge of creating feature layers or reusable data products.
- the capacity to collaborate well with backend technical and data platform teams.
- solid knowledge of platform boundaries, schema change, and data contracts.
- the capacity to link technological choices to quantifiable business results.
- Outstanding communication abilities in leadership, engineering, product, and credit teams.
- a cooperative leadership approach that prioritizes influence over outright control.
- Lending, credit, risk, affordability, and other financial data issues are of interest.
Why This Role Matters:
A Staff Analytics Engineer can have an impact far beyond individual technical projects. At Monzo, this position sits at the intersection of data architecture, financial products, credit, engineering, and business strategy.
The successful candidate will help create systems that allow teams to work with trusted information more confidently. Better data can support stronger customer experiences, more responsible lending decisions, improved operational processes, and more informed business strategies.
For an experienced engineer who enjoys solving difficult problems and helping other teams succeed, this can be a meaningful next step in a senior technical career.
Benefits of Staff Analytics Engineer Job:
- High Salary and Performance Incentives: An attractive benefits package, performance-linked incentive awards, and an annual salary of £121,600 to £164,600 offer strong earning potential.
- UK Visa Sponsorship and Relocation Assistance: Experienced analytics engineers looking for employment prospects in the UK can take advantage of this beneficial route for qualified foreign experts.
- Flexible Remote Working Options: With flexible working hours intended to promote productivity, autonomy, and a better work-life balance, employees can work remotely from Monzo’s London office anywhere within the United Kingdom.
- Professional Learning and Development: To enhance technical proficiency and career advancement, a £1,000 yearly learning budget can include books, training sessions, conferences, and other professional development opportunities.
- Senior Technical Leadership Experience: Without the need for direct personnel management, staff analytics engineers may shape large-scale data architecture, set engineering standards, create reusable data products, and drive technical choices across several teams.
- Significant FinTech Career Impact: Being a part of Monzo’s Borrowing team offers the chance to tackle intricate financial data problems, enhance consumer results, and contribute to technology that makes money function better for everyone.
Working Location:
- London, Cardiff, or UK Remote
The position can be performed remotely within the UK, although occasional meetings in London may be required. International applicants should review the employer’s current immigration and sponsorship requirements before applying.
Visa Sponsorship for International Applicants:
Monzo states in the job advertisement that visa sponsorship is available. This makes the vacancy potentially relevant to qualified analytics engineers currently living outside the UK.
Applicants requiring sponsorship should ensure that their qualifications, experience, proposed role, and immigration circumstances meet the applicable UK requirements. Sponsorship availability can depend on individual circumstances and employer eligibility, so candidates should confirm the latest details directly with Monzo during the recruitment process.
Interview Process:
Monzo describes the recruitment process as consisting of:
- Recruiter call
- Initial interview
- Three one-hour final interview sessions
The company indicates that the typical process takes approximately three to four weeks, while also aiming to accommodate candidates’ availability.
Employee Development:
An essential component of this opportunity is professional development. The learning budget can fund books, training sessions, and conferences, providing qualified applicants with chances to improve their technical expertise and stay up to date on advancements in data technology and analytics engineering.
Architectural ownership, cross-functional cooperation, mentoring, and exposure to key technological choices can all contribute to staff development.
Diversity and Inclusion:
Monzo states that it is committed to providing an inclusive workplace where people can perform at their best. The company describes equal opportunity as an important part of its mission and says applications are considered without discrimination based on protected personal characteristics or background.
How to Apply for Staff Analytics Engineer Jobs in UK with Visa 2026?
Candidates interested in the Staff Analytics Engineer – Borrowing position should review the latest vacancy details and submit their application through Monzo’s official recruitment channel.
Before applying, prepare an up-to-date CV that clearly highlights your experience with analytics engineering, data architecture, dbt, cloud data platforms, data products, technical leadership, and large-scale data systems.
International applicants should also make their sponsorship requirements clear during the recruitment process and verify the latest visa and relocation information directly with the employer.
Conclusion:
The Staff Analytics Engineer opportunity at Monzo is more than a conventional analytics engineering position. It is a chance for a senior technical professional to help shape how a major digital bank designs, governs, and uses data across a complex borrowing ecosystem.
With a salary of £121,600–£164,600, performance incentives, flexible UK working options, learning support, relocation assistance, and stated visa sponsorship, the role could be especially appealing to experienced analytics engineers looking to build a long-term career in the UK.
For candidates who enjoy big data challenges, technical strategy, financial technology, and leading through influence, this role offers the opportunity to make a meaningful contribution while helping create better financial experiences for customers.
What does a Staff Analytics Engineer do daily?
A Staff Analytics Engineer designs scalable data architectures, develops trusted data products, improves analytics infrastructure, and guides technical decisions. They collaborate with engineering, product, credit, and platform teams while influencing standards and helping other engineers deliver stronger data solutions.
What qualifications are needed for Staff Analytics Engineer roles?
Candidates typically need extensive analytics engineering experience, strong data architecture knowledge, and expertise with technologies such as dbt and BigQuery. Experience with testing, orchestration, CI/CD, data products, technical leadership, and complex financial or business datasets can strengthen applications.
Does Monzo offer visa sponsorship for overseas applicants?
Yes, Monzo states that visa sponsorship is available for this position. Eligible international candidates may also receive UK relocation support. Applicants should confirm current sponsorship requirements, eligibility conditions, and immigration details directly with Monzo before submitting their application.
