Senior Data Engineer (GCP/Kafka)
Location :
Bristol, London, UK
(Hybrid)
Job Type :
Full-Time
Key Responsibilities
Building reusable data pipelines at scale, work with structured and unstructured data, and feature engineering for machine learning or curate data to provide real time contextualise 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 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
Job Descripition
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.
About Company
Lloyds Banking Group is a leading UK-based financial services group with a rich history dating back over 320 years. Headquartered in London, the Group serves millions of customers through its well-known brands including Lloyds Bank, Halifax, Bank of Scotland, and Scottish Widows. It provides a wide range of banking and financial services, including personal and business banking, insurance, and wealth management. With a strong focus on customer service, digital innovation, and responsible lending, Lloyds Banking Group aims to help Britain prosper by supporting households, businesses, and communities across the country.