Platform Engineer

TechYard; Manchester; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading consultancy is seeking a Senior Platform Engineer specializing in Databricks to design and maintain scalable data platforms. This role involves collaboration with teams to ensure platform reliability and performance while championing best practices in data and AI projects.

Benefits

Competitive salary

Flexible working arrangements

Opportunities for professional growth

Qualifications

• 7+ years of experience in platform engineering or cloud infrastructure.
• Advanced hands-on experience with Databricks and Spark.

Responsibilities

• Engineer and maintain modern data platforms with a focus on Databricks.
• Build and optimise CI/CD pipelines and cloud integrations.

Skills

Platform Engineering

DevOps

Cloud Infrastructure

Communication

Tools

Databricks

Python

Terraform

Azure

Job description

TechYard Manchester, England, United Kingdom

TechYard Manchester, England, United Kingdom

Direct message the job poster from TechYard

Senior Delivery Consultant @ TechYard Recruitment | Connecting Talent to Opportunity

Job Opportunity: Platform Engineer (Databricks Specialist)

Location: Manchester OR London | Employment Type: Full-time | Experience Level: Senior

Are you an experienced Platform Engineer with a passion for Data & AI? We’re working with a leading consultancy seeking a talented professional to help build and optimise data platforms using Databricks. In this role, you’ll play a pivotal part in designing, implementing, and maintaining robust, scalable infrastructure that powers high-impact analytics and machine learning solutions.

Key Responsibilities

• Engineer and maintain modern data platforms with a strong focus on Databricks, including Delta Lake, Apache Spark, and MLflow
• Build and optimise CI/CD pipelines, infrastructure-as-code (IaC), and cloud integrations (Azure preferred, AWS/GCP beneficial)
• Collaborate with data engineers, architects, and stakeholders to ensure platform scalability, performance, and security
• Champion best practices in platform reliability, monitoring, and cost-efficiency
• Contribute to platform automation, DevOps tooling, and environment management for development through to production

Skills & Qualifications

• 7+ years of experience in platform engineering, DevOps, or cloud infrastructure, with a focus on data platforms
• Advanced hands-on experience with Databricks, Spark, Delta Lake, and Python
• Proficient with Azure services (Data Factory, Storage, DevOps) and experience with IaC tools (Terraform, Bicep, ARM)
• Experience supporting data pipelines, machine learning workflows, and real-time data processing
• Knowledge of cloud security, networking, and governance frameworks for enterprise environments
• Strong communication skills and ability to work collaboratively across technical and non-technical teams

Why Join

• Work on impactful, transformational data & AI projects
• Opportunities for professional growth, leadership, and innovation
• Competitive salary, benefits, and flexible working arrangements

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Consulting and Information Technology

• Industries

  IT Services and IT Consulting, Business Consulting and Services, and Data Infrastructure and Analytics

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