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Platform Engineer

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: PZ Cussons
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Azure, SRE/Site Reliability, Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below

Position

Role:
Platform Engineer

Location:

Manchester

Contract:

Permanent

Why Us and Why This Role

Seize the opportunity to be part of a unique business with an exciting vision for the future - where we dare to be bold, discover what’s possible, and do incredible. We offer five reasons people join and stay:
Futureproof Our Brands, Create Your Own Impact, Accelerate Your Craft, Flexibility to Perform, and Collaborate with Intent.

Responsibilities
  • Build and improve Azure Data & AI platform capabilities that are secure, scalable, reliable and easy for teams to use.
  • Create repeatable deployment patterns using Terraform, Git Hub Actions and CI/CD, helping teams release changes with confidence and control.
  • Support robust data engineering patterns across extraction, ingestion, transformation, validation and publication so data products are trusted and fit for purpose.
  • Strengthen platform reliability through monitoring, alerting, runbooks, incident response and root‑cause analysis.
  • Improve security, access, governance and cost management practices across the platform.
  • Share standards, documentation and best practices that help colleagues adopt reusable platform capabilities and keep improving how we work.
What You'll Bring
  • Experience in Azure platform engineering, Dev Ops automation, cloud infrastructure, data engineering or a similar hands‑on engineering role.
  • Practical knowledge of Azure Data & AI services (Azure Data Factory, Azure Databricks, storage, networking, identity, monitoring and security).
  • Confidence working with Terraform, infrastructure‑as‑code, Git Hub Actions, Git, CI/CD pipelines, release controls and automated validation.
  • Strong understanding of data engineering concepts: ingestion, orchestration, transformation, data modelling, data quality and observability.
  • Ability to use tools such as SQL, Python, Azure CLI or similar to automate tasks, support workloads and solve operational issues.
  • Collaborative approach with clear communication, sound judgement and confidence to work with data, analytics, security, infrastructure and business stakeholders.
  • Degree in Computer Science, Engineering, Information Systems, Mathematics or a related technical field – or equivalent experience.
  • Certifications in Azure, Terraform, Dev Ops, data engineering, security or AI platforms are a bonus.
Benefits
  • Competitive annual bonus, pension, life assurance and Share Incentive Plan.
  • Private medical cover plus health & wellbeing support.
  • Flexible holiday options, including buy‑and‑accrual.
  • 1pm Friday finish for better work‑life balance.
  • Hybrid/electric car scheme, cycle to work & free mortgage advice.
  • Discounted and complimentary PZ products.
  • Onsite gym where available.
Inclusion and Fairness

We’re committed to building diverse teams that reflect our consumers and communities, creating an inclusive environment where everyone feels respected and able to thrive. If you need any adjustments during the process, just let us know.

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