Find a jobRecruiters

Senior Analytics Engineer

Exclusive opportunity

Hybrid

Senior Analytics Engineer

Lloyds

Senior Analytics Engineer

Skills

Google Cloud PlatformSQL QueriesLookerData EngineeringGitData AnalysisdbtKubernetesWorkdayApache AirflowTerraform

1 month ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Salary:

£84,051 – £95,000 / year

Location:

London, UK

Work mode:

Hybrid

Published on:

9 September 2026

What they need


  • 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

Benefits

  • A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
  • A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
  • Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
  • Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
  • Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
  • Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
  • Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
  • Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
  • Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our ‘Your Tomorrow’ scheme. You can decide how much you save and get a say in where your contributions are invested.- Experience designing and owning complex data models from requirements through to production
  • Familiarity with cloud platforms, particularly Google Cloud Platform (GCP)
  • Deep hands-on expertise using dbt as a primary transformation tool
  • Strong understanding of software engineering principles including Git, version control and modular development
  • Knowledge of orchestration tools such as Airflow or Composer
  • Ability to work directly with business stakeholders and translate requirements into scalable data solutions
  • Experience implementing data quality controls, monitoring and automated testing
  • Strong experience with BigQuery, including incremental models, partitioning and cost optimisation
  • Experience mentoring, coaching or supporting the development of other analytics engineers
  • Proven ability to establish and maintain engineering standards, testing strategies and CI/CD practices
  • Expert-level SQL skills and experience modelling large-scale datasets in a cloud data warehouse
  • 5+ years’ experience in analytics engineering, data engineering or a related discipline
  • Experience with real-time or streaming data pipelines
  • Experience working with Kubernetes or container orchestration platforms
  • Knowledge of infrastructure as code tools such as Terraform
  • 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- End Date - Friday 02 October 2026

Other offers great for you!

These companies are also looking for great profiles

Anderson RH

Data Analytics Engineer Looker Sénior

Freelance

Lausanne, Switzerland

Hybrid

Skills

Google Cloud PlatformSQL QueriesLookerdbtLookMLData modelingData Analytics Looker

3 days ago

Quick apply

Futurwork

Senior Cloud Engineer

Freelance

Brussels, Belgium

Hybrid

Skills

PythonAWSTerraformCloud architectureMonitoring and observabilityCI/CD

7 hours ago

Quick apply

LeHibou

Senior Cloud Engineer (AWS)

750€ / jour

Freelance

Brussels, Belgium

Hybrid

Skills

DockerPythonGitBitbucketAWSTerraform

6 hours ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools