Data Engineer

End Date Tuesday 17 March 2026

Salary Range £57,150 - £63,500

Flexible Working Options Hybrid Working, Job Share

The Data Engineer will focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers.

JOB TITLE: Data Engineer

SALARY: £57,150 - £63,500

LOCATION(s): London

HOURS: Full-time – 35 hours per week

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our London office.

This role sits within our Customer Data Services Platform, and we're the team that looks after the customer data for the whole of Lloyds Banking Group. Our mission is to make this data available for the right purpose with the appropriate confidentiality whilst ensuring a phenomenal engineering experience based on performance, resilience, and integrity.

The systems we support, underpin almost everything we do as Lloyds Banking Group. We maintain these systems with the highest standard and operate them 24/7 using SRE principles.

As a Data Engineer, you'll be responsible for building and optimising data pipelines and architectures that enable data driven insights across the organisation. You'll work primarily within the Google Cloud Platform (GCP) ecosystem, leveraging tools such as Big Query, DBT (Data Build Tool), Apache Kafka, and SQL. We expect a high degree of automation for tests and deployments. We follow LBG's agile practices and governance processes.

• You’re technically minded and skilled with large datasets. You have developed a project from inception to production and understand the value of well tested software and production feedback.
• We're looking for data engineers that can ask penetrating questions, design and communicate robust solutions, develop in short iterative cycles following XP practices, whilst championing excellence, inclusivity, and sustainability.
• You’ll need to be prepared to join an existing development team, pickup fast with the goal of becoming a strong member of the team in a short time.
• SQL Querying - Write sophisticated and efficient SQL queries
• Design, develop, and maintain models, pipelines and transformations with GCP services (Big Query, Dataflow, DBT, Cloud Storage, Apache Kafka Connect)
• Proficient in languages like bash, Python, Terraform, Java, etc.
• Proficient with source control tools like git + github
• Experience in building automated regression tests, coordinated with CI/CD, that validate requirements are met, e.g., Cucumber.
• Solid understanding of architecture/Systems thinking with cloud native principles
• Proactive at using metrics to inform performance optimisations.
• Able to listen, reflect, and respect the views of others while communicating your own opinions respectfully.
• Believe in the value of a modern and inclusive working culture
• A growth mindset, happy to share what is known and absorb what is new.

We also offer a wide-ranging benefits package, which includes:

• A generous pension contribution of up to 15%
• An annual performance-related bonus
• 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

Required skills:

Agile, Git, Java, Python, SQL, CI/CD, Bash, Terraform, Cucumber, Apache Kafka, Git Hub, Google Cloud Platform, Automated Testing.

Required languages:
English.