Senior Data Engineer (GCP/Kafka) in Bristol

Senior Data Engineer (GCP/Kafka) in Bristol

Bristol Full-Time 55000 - 65000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build scalable data pipelines and deliver high-quality data solutions for our customers.
  • Company: Join Lloyds Banking Group, a leader in banking innovation.
  • Benefits: Enjoy a competitive salary, generous pension, and 30 days holiday.
  • Other info: Inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact with cutting-edge technologies in a dynamic environment.
  • Qualifications: Experience in coding, data technologies, and cloud platforms like GCP.

The predicted salary is between 55000 - 65000 £ per year.

Join to apply for the Senior Data Engineer (GCP/Kafka) role at Lloyds Banking Group.

This range is provided by Lloyds Banking Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

LOCATION(S): Bristol

HOURS: Full-time - 35 hours per week

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

Please note that we will not be able to support a visa application for these roles on this occasion, so all candidates should have a legal right to work in the UK without requiring sponsorship, to be considered for this position.

ABOUT THIS OPPORTUNITY

A great opportunity has arisen for a Data Engineer to work within the Personalised Experiences and Communications Platform to join product engineering cross functional teams. As a Data Engineer your responsibilities will be delivering the highest quality data capability, drawing upon your engineering expertise, whilst being open minded to the opportunities the cloud provides.

What you'll be doing…

  • Building reusable data pipelines at scale, working with structured and unstructured data, and feature engineering for machine learning or curating data to provide real-time contextual insights to power our customers' journeys.
  • Using industry leading toolsets, as well as evaluating exciting new technologies to design and build scalable real-time data applications.
  • Spanning the full data lifecycle and experience using a mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data.
  • Helping in adopting best engineering practices like Test Driven Development, code reviews, Continuous Integration/Continuous Delivery etc for data pipelines.
  • Mentoring other engineers to deliver high quality and data-led solutions for our Bank's customers.

ABOUT US

Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose. Join us on our journey and you will too…

WHAT WE NEED YOU TO HAVE EXPERIENCE IN

  • Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL)
  • Strong experience working with Kafka technologies
  • Working experience with operational data stores, data warehouse, big data technologies and data lakes
  • Experience working with relational and non-relational databases to build data solutions, such as SQL Server/Oracle, experience with relational and dimensional data structures
  • Experience in using distributed frameworks (Spark, Flink, Beam, Hadoop)
  • Proficiency in infrastructure as code (IaC) using Terraform
  • Experience with CI/CD pipelines and related tools/frameworks
  • Good knowledge of containers (Docker, Kubernetes etc)
  • Experience with GCP, AWS or Azure
  • Good understanding of cloud storage, networking and resource provisioning

It would be great if you had…

  • Certification in GCP "Professional Data Engineer"
  • Certification in Apache Kafka (CCDAK)
  • Proficiency across the data lifecycle

WORKING FOR US

Our focus is to ensure we are inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity, or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it is why we especially welcome applications from under-represented groups and cognitively diverse individuals. We are disability confident and want to ensure we support you to showcase your best self. So, if you are neurodivergent or have any other reason to would like reasonable adjustments to be made to our recruitment processes, just let us know.

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

Ready for a career where you can have a positive impact as you learn, grow, and thrive? Apply today and find out more.

Senior Data Engineer (GCP/Kafka) in Bristol employer: LLOYDS BANKING GROUP

Lloyds Banking Group is an exceptional employer that prioritises inclusivity and employee well-being, offering a generous benefits package including a pension contribution of up to 15%, 30 days of holiday, and various lifestyle adaptations. With a hybrid working model based in Bristol, employees have the opportunity to thrive in a supportive environment that fosters professional growth and embraces diversity, making it an ideal place for those looking to make a meaningful impact in the banking sector.

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Contact Details:

LLOYDS BANKING GROUP Recruitment Team

We think you need these skills to ace Senior Data Engineer (GCP/Kafka) in Bristol

SQL
Problem-Solving Skills
Data Pipeline Development
Communication Skills
Python
Data Engineering
API Integration