Platform Engineer in Manchester

Platform Engineer in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Build and enhance Azure Data & AI platforms for secure and scalable solutions.
  • Company: Join a forward-thinking tech company in Manchester with a collaborative vibe.
  • Benefits: Enjoy competitive bonuses, private medical cover, and flexible holiday options.
  • Other info: Work-life balance with 1pm Friday finishes and on-site gym access.
  • Why this job: Make a real impact by improving data engineering and platform reliability.
  • Qualifications: Experience in Azure, DevOps, and data engineering is essential.

The predicted salary is between 60000 - 80000 £ per year.

  • Platform Engineer
  • Manchester, Permanent Contract.

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 practice that help colleagues adopt reusable platform capabilities and keep improving how we work.

Qualifications

  • 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 such as 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, including ingestion, orchestration, transformation, data modelling, data quality and observability.
  • The ability to use tools such as SQL, Python, Azure CLI or similar to automate tasks, support workloads and solve operational issues.
  • A collaborative approach, with clear communication, sound judgement and the confidence to work with data, analytics, security, infrastructure and business stakeholders.
  • A degree in Computer Science, Engineering, Information Systems, Mathematics or a related technical field – or equivalent relevant 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‑out and accrual.
  • 1pm Friday finish for better work‑life balance.
  • Hybrid/electric car scheme, cycle‑to‑work and free mortgage advice.
  • Discounted and complimentary PZ products.
  • On‑site gym where available.
  • #J-18808-Ljbffr

Platform Engineer in Manchester employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

We think you need these skills to ace Platform Engineer in Manchester

Azure Data & AI platform engineering
Terraform
GitHub Actions
CI/CD pipelines
Data engineering concepts
SQL
Python