Senior Data Engineer

Overview:

We’re Kingfisher. You might know us as B&Q, Screwfix, Castorama, Brico Depot or Koçtaş. We’re made up of over 77,000 passionate people, over 1,300 stores and operating in 9 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. That’s where you come in.   We are looking for talented, digitally minded pioneers to come and join our fast-growing team. Here, you’ll discover an environment where creators and innovators come together to shape the future of home improvement.    Currently working remotely, when we are able to we will embracing a hybrid working policy with the flexibility of 1-2 days per week in the office when required. We have offices Based in Paddington, Southampton and Yeovil

As a Senior Data Engineer, you will be responsible for the overall technical direction, standards and principles of the data engineering practices. Overseeing the build, development, and design of data products in line with the business or technical demands.   Key Accountabilities / Responsibilities: - Providing a framework for data engineering best practices and principles by setting coding standards, peer review process, etc. - Staying abreast of the industry data engineering technology roadmap to stay at the leading edge of tooling for integration, streaming and transformation of high volume data sets. - Responsible for providing technical direction to the engineering teams and upskilling teams to showcase good practice technology delivery. - Provides engineering support as required to the data engineering resource within the delivery team. - Provides urgent support for technical blockers and escalation for any issues in the production environment. - Highly effective coach/mentor who is able to lead by example with an approachable demeanour. - Demonstrable ability to apply critical thinking to problems and tasks. - Plans own work to meet given objectives and processes. - Works within the wider community of PE’s, Seniors and Product Owners to shape the future of the Data platform.

Required Skills & Experience - Highly skilled in building large scale distributed data processing systems (or experience in equal measure). They are SME on building and delivering data products. - Programming in multiple languages within our data eco-system e.g. Python. - Implement cloud data technologies on either GCP, Azure or AWS. - Experience of mentoring and coaching data engineers. - Experience of building and maintaining constructive and collaborative business - relationships with other teams and functions - Advocate of Agile delivery methodologies #LI-TB1