Senior Data Engineer
Location not identified
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Listed location: Fully Remote
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: full_time
From the employer’s posting
What you’ll work on
Full postingMojo Mortgages is building the UK's most intelligent mortgage broker, combining human expertise with AI across the full customer journey.
Build and maintain our data ingestion and transformation pipelines
You'll work across ingestion, transformation and making data available to applications, using AI coding tools extensively as part of your day-to-day engineering work.
From the employer’s posting
Mojo Mortgages is building the UK's most intelligent mortgage broker, combining human expertise with AI across the full customer journey. As a Senior Data Engineer, you'll build and maintain reliable data pipelines and models that power our products and business decisions. Reporting into our Head of Data, you'll work within a cross-functional product stream, collaborating with product managers, software engineers, analysts and business stakeholders to deliver practical solutions with meaningful impact. You'll work across ingestion, transformation and making data available to applications, using AI coding tools extensively as part of your day-to-day engineering work.
Build and maintain our data ingestion and transformation pipelines
Role Overview Mojo Mortgages is building the UK's most intelligent mortgage broker, combining human expertise with AI across the full customer journey. As a Senior Data Engineer, you'll build and maintain reliable data pipelines and models that power our products and business decisions. Reporting into our Head of Data, you'll work within a cross-functional product stream, collaborating with product managers, software engineers, analysts and business stakeholders to deliver practical solutions with meaningful impact. You'll work across ingestion, transformation and making data available to applications, using AI coding tools extensively as part of your day-to-day engineering work. What you'll be doing
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Docker
- Terraform
Source — Tool mentions in context
What we're looking for: - Strong proficiency in SQL, Python, BigQuery and dbt - Hands-on GCP experience
- Build and maintain our data ingestion and transformation pipelines - Develop dbt models in BigQuery, from raw data to downstream product and analytical models - Gather stakeholder requirements and agree clear business definitions
- Experience with AI coding tools such as Claude Code and analytics agents - Experience with containerised workloads (Docker) and job orchestration - Strong grasp of engineering principles and writing maintainable, tested code
- Familiarity with event-driven architectures, streaming or near-real-time ML pipelines - Experience with infrastructure as code (Terraform) and managed ELT platforms What we offer:
Benefits in the posting
Full benefits wording- Half-day holiday for your birthday and a day off for moving house
- Pension via People’s Pension
- Wellness programme from Able Futures and subsidised private medical insurance
- Critical illness cover and death in service
- Enhanced maternity, paternity, and adoption pay
- Compassionate leave and long-service awards
- Employment type
- Full Time
From the employer’s posting.
About Rvu
We're not your average mortgage brokerage.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 7 days ago
- Recorded sightings
- 9
- Last seen by us
- Oct 28, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.rvu.co.uk. The employer’s form will show what is required.
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Job description
About Mojo Mortgages
We're not your average mortgage brokerage. We're a fast-moving, ever-evolving fintech on a mission to disrupt the industry. With a buzzing, high-energy environment, we're constantly pushing boundaries to deliver smarter solutions and better outcomes for our customers. Change is constant here, and so is our drive to work faster, think bigger, and raise the bar.
We’re part of RVU, a group of online brands that include: Confused.com, Uswitch, and money.co.uk.
We’re part of RVU, a group of online brands that include: Confused.com, Uswitch, and money.co.uk.
Role Overview
Mojo Mortgages is building the UK's most intelligent mortgage broker, combining human expertise with AI across the full customer journey. As a Senior Data Engineer, you'll build and maintain reliable data pipelines and models that power our products and business decisions. Reporting into our Head of Data, you'll work within a cross-functional product stream, collaborating with product managers, software engineers, analysts and business stakeholders to deliver practical solutions with meaningful impact. You'll work across ingestion, transformation and making data available to applications, using AI coding tools extensively as part of your day-to-day engineering work.
What you'll be doing
- Build and maintain our data ingestion and transformation pipelines
- Develop dbt models in BigQuery, from raw data to downstream product and analytical models
- Gather stakeholder requirements and agree clear business definitions
- Work with stakeholders to ensure data is available to internal applications and services
- Implement automated tests and data-quality checks
- Monitor pipelines, investigate failures and improve reliability
- Contribute to our cloud infrastructure, access management and CI/CD processes
- Handle customer data securely in an FCA-regulated environment
- Deliver independently, partnering with the Lead Data Engineer on complex work
- Review code and share good engineering practices
What we're looking for:
- Strong proficiency in SQL, Python, BigQuery and dbt
- Hands-on GCP experience
- Familiarity with modern data architecture patterns
- Experience building production data pipelines and well-structured data models
- Experience with AI coding tools such as Claude Code and analytics agents
- Experience with containerised workloads (Docker) and job orchestration
- Strong grasp of engineering principles and writing maintainable, tested code
- Strong background in Agile methodologies and Git for version control
- Excellent written and verbal communication with technical and non-technical stakeholders
It Would Be Great If You Had
- A fintech or regulated financial services background
- Experience with AI/LLM infrastructure such as developing AI model evaluations
- Familiarity with event-driven architectures, streaming or near-real-time ML pipelines
- Experience with infrastructure as code (Terraform) and managed ELT platforms
What we offer:
- Remote-first working with the option to work anywhere in the world for up to 22 days per year
- 25 days holiday plus bank holidays (up to 28 days with length of service)
- Half-day holiday for your birthday and a day off for moving house
- Pension via People’s Pension
- Wellness programme from Able Futures and subsidised private medical insurance
- Critical illness cover and death in service
- Enhanced maternity, paternity, and adoption pay
- Compassionate leave and long-service awards
- Opportunities for professional growth and development.
If this sounds like the role for you, apply now and be a part of our journey to revolutionise the mortgage industry at Mojo Mortgages.
Employment type
Full Time
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Fully Remote
What we offer: - Remote-first working with the option to work anywhere in the world for up to 22 days per year - 25 days holiday plus bank holidays (up to 28 days with length of service)
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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