Lead Analytics Engineer, Borrowing

monzoreferrals; United States; Remote; USD 129,000 - 165,000; Full time

Benefits offered by this job

Relocation & visa sponsorship

Remote within UK with occasional in‑p‑

Flexible working hours

Annual learning budget £1,000

Job summary

monzoreferrals is seeking a Lead Analytics Engineer to shape foundational data platforms for a borrowing-focused digital bank. You will craft scalable data models and lead architecture across financial, transactional, and regulatory data domains, collaborating with analytics and engineering teams to elevate data capabilities.

You will implement in BigQuery, uphold data warehouse standards, and drive governance while delivering measurable business impact across markets.

Qualifications

• Deep passion for data modelling, ETL, and large-scale data work.
• Hands-on experience working with financial, transactional, or operational data streams.
• Strong SQL and data modelling skills, with confidence in core data warehousing concepts.
• Track record of building reliable, controlled data sets in production environments.
• Experience shaping technical roadmaps for a full data domain and delivering against project plans.
• Excellent cross-functional communication with engineers, product managers, analysts, and senior technical leaders.

Responsibilities

• Act as a data architect for the borrowing domain, designing scalable data models that measure product performance and support business growth.
• Build robust data models in BigQuery, downstream of backend services, to power internal reporting, machine learning, language models, and financial or regulatory use cases.
• Define and uphold data warehouse best practices, including source payload design, logical data modelling, implementation, metadata, and testing standards.
• Partner with analytics and engineering teams across the organisation to share knowledge, raise standards, and continuously improve data practices.
• Prioritise data governance work, safeguarding integrity and compliance across the borrowing data estate.
• Champion central platform initiatives that elevate data quality and architecture standards across multiple product domains.

Skills

Data modelling

ETL

SQL

Data warehousing

Tools

BigQuery

Job description

Role overview

A lead analytics engineer role within a borrowing-focused data team at a digital bank, responsible for shaping foundational data platforms and helping the business scale into new markets. The position blends hands‑on data modelling with strategic architecture leadership across financial, transactional, and regulatory data domains.

Responsibilities

• Act as a data architect for the borrowing domain, designing scalable data models that measure product performance and support business growth.
• Build robust data models in BigQuery, downstream of backend services, to power internal reporting, machine learning, language models, and financial or regulatory use cases.
• Define and uphold data warehouse best practices, including source payload design, logical data modelling, implementation, metadata, and testing standards.
• Partner with analytics and engineering teams across the organisation to share knowledge, raise standards, and continuously improve data practices.
• Prioritise data governance work, safeguarding integrity and compliance across the borrowing data estate.
• Champion central platform initiatives that elevate data quality and architecture standards across multiple product domains.

Requirements

• Deep passion for data modelling, ETL, and large-scale data work.
• Hands‑on experience working with financial, transactional, or operational data streams.
• Strong SQL and data modelling skills, with confidence in core data warehousing concepts.
• Track record of building reliable, controlled data sets in production environments.
• Experience shaping technical roadmaps for a full data domain and delivering against project plans.
• Excellent cross‑functional communication with engineers, product managers, analysts, and senior technical leaders.

Nice to have

• Strategic perspective on credit products and how underlying data unlocks customer value.
• Experience shaping ambiguous data domains and gaining buy-in from senior stakeholders.
• Enthusiasm for mentoring analytics engineers, data scientists, and credit analysts by sharing expertise.

Benefits and work setup

• Base salary range of £97,800 to £125,000 plus benefits.
• Relocation and visa sponsorship support available for candidates moving to the UK.
• Location options include London-based, Cardiff-based, or fully remote within the UK with occasional in-person meetings.
• Flexible working hours with autonomy over scheduling.
• Annual learning budget of £1,000 for books, training courses, and conferences.