Databricks Platform Lead, Data Engineer

Primarket; Reading; On-site; GBP 80,000 - 120,000; Full time

Job summary

Primark’s Data Platform & Engineering team is seeking a Senior Data Engineer to lead design and delivery of scalable data solutions on our Databricks-based platform. You will build trusted data products powering reporting, analytics, AI and data science, while mentoring engineers and driving best practices across the team.

You will shape data architecture, guide platform modernisation, and collaborate with Analytics, Governance and Business teams to deliver measurable value through scalable,

Qualifications

• Advanced data engineering experience with enterprise-scale data pipelines using Databricks, PySpark and SQL.
• Experience designing scalable lakehouse architectures and data models in cloud environments (Azure).
• Knowledge of dbt Cloud or dbt Core, including testing, deployment and CI/CD.
• Proven ability to deliver data products supporting analytics, AI and data science.
• Strong leadership and ability to mentor engineers and drive engineering standards.

Responsibilities

• Design, build and optimise scalable data pipelines and ETL/ELT workflows using Databricks, PySpark and SQL.
• Develop and maintain lakehouse architectures and reusable data models for enterprise standards.
• Lead engineering initiatives, establish best practices and drive CI/CD and automation across teams.
• Provide code reviews and mentor Data Engineers to raise engineering capability.
• Support platform modernisation and migration efforts from legacy systems to Databricks.
• Collaborate with Analytics, Data Science and Governance to translate business needs into scalable datasets.

Skills

Databricks

PySpark

SQL

Data pipelines

Cloud data platforms

Technical leadership

Tools

dbt Cloud

dbt Core

Azure

Lakehouse architecture

Job description

Primark’s Data Platform & Engineering team is seeking a Senior Data Engineer to lead design and delivery of scalable data solutions on our Databricks-based platform. You will build trusted data products powering reporting, analytics, AI and data science, while mentoring engineers and driving best practices across the team.

You will shape data architecture, guide platform modernisation, and collaborate with Analytics, Governance and Business teams to deliver measurable value through scalable,