Senior Analytics Engineer

Lloyds Banking Group; City of Westminster; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Pension up to 15%

Annual bonus subject to group perf.

Share schemes including free shares

Discounted shopping

30 days holiday + bank holidays

Wellbeing initiatives & parental leave

Job summary

Lloyds Banking Group is seeking a Senior Analytics Engineer to join Curve's central data team, building scalable analytics platforms and production-grade ELT pipelines with dbt and BigQuery.

You will model complex datasets across payments, credit and growth, driving data quality, testing, and CI/CD practices while collaborating with data, BI and business stakeholders. Mentoring teammates and codifying engineering standards are key parts of the role.

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.
• 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).

Responsibilities

• Design and develop production-grade ELT pipelines using dbt and BigQuery.
• Own 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.
• Collaborate with Data Engineering, BI Engineering and stakeholders to ensure reliable, cost-efficient data.

Skills

dbt

SQL

BigQuery

Data modelling

CI/CD

Data quality

Git

Mentoring

Cloud platforms

Stakeholder collaboration

Tools

Airflow

Terraform

Kubernetes

Looker

Composer

Job description

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.

• 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

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.

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