Senior Data Engineer

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, with an ambition to take ownership of the operational support 24/7 using SRE principles.

As a Senior Data Engineer, you’ll be responsible for building and optimising data pipelines and architectures that enable data driven insights and decision making across the organisation. You’ll work primarily within the Google Cloud Platform (GCP) ecosystem, leveraging tools such as BigQuery, DBT (Data Build Tool), Apache Kafka, and SQL to design and maintain reliable and scalable data infrastructure, following LBG’s Agile processes. You’ll collaborate closely with data analysts and other engineering teams to ensure data is efficiently collected, processed, and made available for analysis, ensuring high performance and reliability in a cloud-based environment.

What you’ll need:

• 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’re prepared to join an existing development team, pickup fast with the goal of becoming a strong member of the team, able to mentor peers and collaborate with stakeholders.
• SQL Querying - Write sophisticated and efficient SQL queries.
• Design, develop, and maintain models, pipelines and transformations with GCP services (BigQuery, Dataflow, DBT, Cloud Storage, Apache Kafka).
• Good at scripting in SQL, bash, python, terraform, java etc.
• Fluent with source control tools like git + github.
• Built automated regressions tests, integrated with CI/CD, that validate the requirements are met e.g. cucumber.
• Good 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 as well as being able to communicate your own opinion respectfully.
• Passionate about driving a modern and inclusive working culture.
• A growth mindset, happy to share what is known and absorb what is new.

About working for us:

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.

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

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.