- Salary
- £84k – £93k
- Location
- London 1-10 Praed Mews, United Kingdom
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Closing date
- Today
- Source
- Workday
Description
End Date
Friday 02 October 2026Salary Range
£84,051 - £93,390We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid WorkingJob Description Summary
.Job Description
JOB TITLE: Senior Analytics Engineer
SALARY: £84,051 - £95,000
LOCATION: London
HOURS: Full-time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy.
What you’ll be doing…
We’re looking for a Senior Analytics Engineer to join Curve’s central data team, helping to build a robust and scalable analytics platform that transforms raw data into trusted, analytics-ready data products. You’ll lead the design and development of production-grade ELT pipelines using dbt and BigQuery, own the modelling of complex and business-critical datasets across areas such as payments, credit and growth, and drive best practices in data modelling, testing, CI/CD and performance optimisation. Working closely with Data Engineering, BI Engineering and business stakeholders, you’ll help ensure data is accessible, reliable and cost-efficient, while mentoring other analytics engineers and shaping the standards that support a high-performing data function.
Why Join us?
If you think all banks are the same, you’re wrong. We’re a pioneering, fast-changing business that’s shaping finance as a force for good. If you’re after a role where you can have an impact and do the best work of your career, you’ve just found it
What we’re looking for?
- 5+ years’ experience in analytics engineering, data engineering or a related discipline
- Deep hands-on expertise using dbt as a primary transformation tool
- Expert-level SQL skills and experience modelling large-scale datasets in a cloud data warehouse
- Strong experience with BigQuery, including incremental models, partitioning and cost optimisation
- Experience designing and owning complex data models from requirements through to production
- Proven ability to establish and maintain engineering standards, testing strategies and CI/CD practices
- Experience implementing data quality controls, monitoring and automated testing
- Strong understanding of software engineering principles including Git, version control and modular development
- Ability to work directly with business stakeholders and translate requirements into scalable data solutions
- Experience mentoring, coaching or supporting the development of other analytics engineers
- Knowledge of orchestration tools such as Airflow or Composer
- Familiarity with cloud platforms, particularly Google Cloud Platform (GCP)
And it would be great if you had any of the following...
- Experience with real-time or streaming data pipelines
- Knowledge of infrastructure as code tools such as Terraform
- Experience working with Kubernetes or container orchestration platforms
- Experience within Fintech, Financial Services, Payments or Retail Banking
- Previous experience supporting or mentoring junior team members
- Exposure to Looker or similar BI reporting platforms
This is a place for you…
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.
We also offer a wide-ranging benefits package, which includes…
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Ready for a career where you’ll learn and thrive? Apply today and find out more.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.