Senior Analytics Engineer

Lloyds Banking Group; Greater London; Hybrid; GBP 85,000 - 95,000; Full time

Benefits offered by this job

Generous pension contribution

Annual bonus

Share schemes

Discounted shopping

30 days holiday

Wellbeing initiatives

Parental leave

Job summary

Lloyds Banking Group, London-based, is seeking a Senior Analytics Engineer to join Curve's central data team. You will build robust ELT pipelines with dbt and BigQuery and model complex datasets across payments, credit and growth.

You'll promote data modelling standards, CI/CD, performance optimization and cost efficiency while collaborating with data engineering, BI engineering and business stakeholders and mentoring colleagues.

Qualifications

• 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.

Responsibilities

• Lead the design and development of production-grade ELT pipelines using dbt and BigQuery.
• Own the modelling of complex datasets across payments, credit and growth.
• Drive best practices in data modelling, testing, CI/CD and performance optimisation.
• Mentor other analytics engineers and shape data-function standards.

Skills

Analytics engineering

dbt

BigQuery

SQL

Data modelling

CI/CD

GCP

Looker

Airflow

Tools

Airflow

Kubernetes

Terraform

Composer

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

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