Principal Data Engineer

Kingfisher; England; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Competitive benefits package

Job summary

Kingfisher in the United Kingdom is hiring a Principal Data Engineer, a senior individual contributor and trusted technical authority across Group Technology. You will shape the design and evolution of our data platforms, lead complex cross-team initiatives and raise engineering standards across squads and domains.

This hands-on leadership role connects deep technical expertise with business outcomes, influencing architecture, platform roadmaps and investment decisions while enabling engineers

Qualifications

• Deep expertise in distributed data processing, cloud-native systems and modern data architecture.
• Proven experience delivering large-scale data platforms and production-grade pipelines.
• Strong Python and SQL skills, with hands-on experience in Spark, PySpark or Scala.
• Experience with dbt for data modelling and transformation.
• Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory.
• Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes.
• Experience with data quality tools and testing frameworks such as Great Expectations.
• Deep understanding of batch, streaming and event-driven architecture patterns.
• Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost.

Responsibilities

• Define and drive the data platform and data engineering strategy in line with Group Technology objectives.
• Lead architecture decisions and establish scalable standards and design patterns across data pipelines, storage and processing.
• Partner with Architecture and Product teams to shape long-term platform roadmaps and capabilities.
• Design and deliver production-ready data platforms and pipelines that are scalable, resilient and cost-efficient.
• Champion modern engineering practices including CI/CD, automated testing, DevOps, observability and platform automation.
• Strengthen data quality, governance and security while promoting reusable data products and shared platform capabilities.
• Provide technical leadership across squads and influence senior stakeholders across Engineering, Product, Architecture and Technology.
• Lead business-critical initiatives spanning multiple teams, systems and geographies.
• Coach and mentor engineers, support hiring and onboarding, and help build a strong Data Engineering community.
• Evaluate emerging technologies and introduce tools and approaches that deliver measurable value.
• Drive continuous improvement while balancing quality, speed, cost and risk.

Skills

Distributed data

Cloud-native systems

Data architecture

Python

SQL

Spark

PySpark

Scala

dbt

Databricks

BigQuery

Azure Data Factory

GCP

AWS

DevOps

CI/CD

Docker

Kubernetes

Great Expectations

Tools

Databricks

BigQuery

Azure Data Factory

Git

Terraform

Docker

Kubernetes

Great Expectations

Job description

Overview

We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement.

As Principal Data Engineer, you will be a senior individual contributor and trusted technical authority across Group Technology. You will shape the design and evolution of our data platforms and products, lead complex cross-team initiatives and raise engineering standards across multiple squads and domains.

This is a hands-on leadership role for someone who can connect deep technical expertise with business outcomes. You will influence architecture, platform roadmaps and investment decisions while enabling engineers to deliver scalable, resilient and cost-efficient data solutions.

What's the job?

• Define and drive the data platform and data engineering strategy in line with Group Technology objectives.
• Lead architecture decisions and establish scalable standards and design patterns across data pipelines, storage and processing.
• Partner with Architecture and Product teams to shape long-term platform roadmaps and capabilities.
• Design and deliver production-ready data platforms and pipelines that are scalable, resilient, observable and cost-efficient.
• Champion modern engineering practices including CI/CD, automated testing, DevOps, observability and platform automation.
• Strengthen data quality, governance and security while promoting reusable data products and shared platform capabilities.
• Provide technical leadership across squads and influence senior stakeholders across Engineering, Product, Architecture and Technology.
• Lead business-critical initiatives spanning multiple teams, systems and geographies.
• Coach and mentor engineers, support hiring and onboarding, and help build a strong Data Engineering community.
• Evaluate emerging technologies and introduce tools and approaches that deliver measurable value.
• Drive continuous improvement while balancing quality, speed, cost and risk.

What you'll bring

Technical expertise

• Deep expertise in distributed data processing, cloud-native systems and modern data architecture.
• Proven experience delivering large-scale data platforms and production-grade pipelines.
• Strong Python and SQL skills, with hands-on experience in Spark, PySpark or Scala.
• Experience with dbt for data modelling and transformation.
• Strong knowledge of cloud platforms such as GCP, Azure or AWS, and services including Databricks, BigQuery or Azure Data Factory.
• Strong understanding of DevOps and DataOps practices and tools, including CI/CD, Git, Terraform, Docker and Kubernetes.
• Experience with data quality tools and testing frameworks such as Great Expectations.
• Deep understanding of batch, streaming and event-driven architecture patterns.
• Experience designing resilient, scalable and observable systems and optimising platforms for performance and cost.

Leadership and influence

• A track record of setting engineering standards, raising capability and driving continuous improvement across teams.
• The ability to act as a trusted technical authority and influence strategic direction, investment decisions and executive-level stakeholders.
• Strong problem-solving and decision-making skills, with confidence working through ambiguity, transformation and changing priorities.
• Experience coaching engineers and contributing to high-performing teams and engineering communities.

How We WorkWe believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 20% of your time involving in-person collaboration.

We value the perspectives new team members bring and encourage you to apply - even if youdon’tmeet 100% of the requirements.

What We OfferAn inclusive environment where your potential is limited only by your imagination. We encouragenew ideas, support experimentation, and strive to create a workplace where everyone can be their best self.Find out more about Diversity & Inclusion at Kingfisherhere

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.Scroll down below to find out more aboutour benefits.

Diversity & InclusionOur customers come from allwalks of life- and so do we.We’recommitted to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age,gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

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