At a Glance
- Tasks: Build and optimise data pipelines using cutting-edge tools in a dynamic environment.
- Company: Join Lloyds Banking Group, a leader in customer data services.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Other info: Embrace a modern, inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact on data-driven insights while growing your skills in a supportive team.
- Qualifications: Experience with SQL, Python, and cloud technologies; a passion for data engineering.
The predicted salary is between 57150 - 63500 £ per year.
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.
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:
- 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 employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong commitment to employee growth, we provide extensive training opportunities, a generous benefits package including a pension contribution of up to 15%, and a flexible hybrid working model that promotes work-life balance. Join us to be part of a team that values inclusivity, sustainability, and excellence in engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current data engineers or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this. You never know, they might even refer you!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, GCP, or any relevant tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this will demonstrate your technical mindset and ability to communicate effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, GCP, 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 developed any data pipelines or worked with tools like Apache Kafka or DBT, make sure to showcase these in your application. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and our culture!
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 Google Cloud Platform, 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 team’s current projects, the company culture, and how they measure success. This shows your genuine interest in the role and helps you determine if it’s the right fit for you.
