Senior Data Platform Engineer – Hybrid/Remote

Kingfisher; Southampton; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Kingfisher is seeking a Principal Data Engineer to lead data platform strategy and design, shaping scalable pipelines across multiple squads and geographies. You will drive architecture decisions and promote modern engineering practices to deliver cost-efficient, observable data solutions.

You will influence senior stakeholders and mentor engineers while enabling collaborative, data-driven business outcomes within a hybrid working model.

Qualifications

• Deep expertise in distributed data processing and cloud-native systems.
• Proven experience delivering large-scale data platforms and production pipelines.
• Strong Python and SQL skills with Spark/PySpark/Scala.
• Experience with dbt, cloud platforms (GCP/Azure/AWS) and services like Databricks, BigQuery, Azure Data Factory.
• Solid DevOps/DataOps practices (CI/CD, Git, Terraform, Docker, Kubernetes).
• Experience with data quality tools (Great Expectations) and modern data architectures.

Responsibilities

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

Skills

Distributed data processing

Cloud-native systems

Data architecture

Python

SQL

Spark

PySpark

Scala

dbt

GCP

Azure

AWS

Databricks

BigQuery

Azure Data Factory

DevOps

DataOps

CI/CD

Git

Terraform

Docker

Kubernetes

Great Expectations

Batch processing

Streaming

Event-driven architecture

Technical leadership

Tools

CI/CD

Git

Terraform

Docker

Kubernetes

Job description

Kingfisher is seeking a Principal Data Engineer to lead data platform strategy and design, shaping scalable pipelines across multiple squads and geographies. You will drive architecture decisions and promote modern engineering practices to deliver cost-efficient, observable data solutions.

You will influence senior stakeholders and mentor engineers while enabling collaborative, data-driven business outcomes within a hybrid working model.