Overview

(Senior) Data Engineer – Hybrid Working Pattern

We’re Kingfisher. You might know us as Castorama, B&Q, Screwfix, Brico Depot or Koçtaş. We’re made up of over 78,000 passionate people, call over 1,300 stores home and operate in 8 countries. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that’s where you come in.

At Kingfisher our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.

If you require any additional support or adjustments to help you make an application, please contact us at kingfisher.recruitment@kingfisher.com We advocate the benefits of a flexible and hybrid working environment, recognising that this means different things, to different people, in different roles.

Role Overview:

We are going through and exciting period of change and are seeking a highly motivated and experienced (Senior) Data Engineer to join our Data Engineering team. You will work as part of our exciting greenfield tech hub covering all facets of technology within Kingfisher. You will be responsible for end to end development on the data platform, including test development, to ensure continued service delivery versus expectations. You will have understanding of all engineering stages for a data platform by providing an end-to-end, full stack data expertise from design to build. You will be a leading member of the team, helping to develop and mentor junior members as well as input into design and architectural decisions.

If you're looking for an exciting opportunity to step out of your comfort zone and make a real impact building better software, this is the job for you!

What's the job?

Key Accountabilities / Responsibilities:

• Responsible for providing direction to data engineers working on the data platform, including best practices, review and testing processes

• Providing engineering support as required to the data engineering resource within the delivery squads

• Responsible for ensuring we have the right data engineering resource on the programme, and they are properly onboarded and mentored

• Update job knowledge by studying state-of-the-art tools, programming techniques, and computing equipment and by participating in educational opportunities, reading professional publications, maintaining personal networks, and participating in professional organisations

• Provide information by collecting, analysing, and summarising development and service issues

• Support and develop data engineers by providing advice, coaching, and educational opportunities

What you'll bring

Required Skills & Experience:

• Developer / engineering background of large-scale distributed data processing systems (or experience in equal measure). Can provide constructive feedback based on knowledge.

• Highly knowledgeable about data modelling, testing, quality, access and storage.

• Programming in one or more languages within our data eco-system e.g. (Python, SQL).

• Experience with Databricks and DBT is required

• Implemented cloud data technologies on either GCP, Azure or AWS.

• Knowledge around shortening development lead time and improving data development lifecycle

• Worked in an Agile delivery framework.