At a Glance
- Tasks: Build and optimise data pipelines using Google Cloud Platform tools.
- Company: Join Lloyds Banking Group, a leader in customer data services.
- Benefits: Enjoy a competitive salary, generous pension, and 30 days holiday.
- Other info: Flexible hybrid working and excellent career growth opportunities await you.
- Why this job: Make a real impact on data-driven insights in a dynamic environment.
- Qualifications: Experience with SQL, Python, and cloud technologies is essential.
The predicted salary is between 57150 - 63500 £ per year.
End Date: Tuesday 17 March 2026
Salary Range: £57,150 - £63,500
Flexible Working Options: Hybrid Working, Job Share
Job Description Summary: 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.
Location: 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.
About this opportunity: 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.
What you’ll do: 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 BigQuery, 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.
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’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 (BigQuery, 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.
Benefits: 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, GitHub, Google Cloud Platform, Automated Testing.
Required languages: English.
Data Engineer: Build Scalable GCP Pipelines employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in London where innovation meets inclusivity. As a Data Engineer, you'll benefit from a hybrid working model, generous pension contributions, and a commitment to employee growth through hands-on experience with cutting-edge technologies like GCP. With a focus on wellbeing and a culture that champions collaboration and sustainability, you'll find meaningful opportunities to develop your skills while contributing to vital customer data services.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer: Build Scalable GCP Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at Lloyds Banking Group on LinkedIn. Ask them about their experiences and any tips they might have for landing the Data Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL skills and GCP knowledge. Practice common data engineering scenarios and be ready to discuss how you've tackled similar challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your projects! If you've built any data pipelines or worked with GCP tools, bring them up during your interview. We love seeing real-world applications of your skills, so don’t be shy about sharing your successes.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Lloyds Banking Group. Let’s get you that Data Engineer role!
We think you need these skills to ace Data Engineer: Build Scalable GCP Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with GCP, SQL, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've built any data pipelines or worked on relevant projects, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past. Don’t be shy about sharing your successes!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your Tech Stack
Make sure you’re familiar with the tools mentioned in the job description, like GCP, BigQuery, and Apache Kafka. Brush up on your SQL skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Emphasise Team Collaboration
Since this role involves working within a team, be ready to talk about your experience collaborating with others. Share examples of how you’ve communicated effectively and contributed to a positive team environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data practices and the team’s goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
