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Data Platform Engineer (Lead II - Data Engineering)

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Summary

Lead engineer role to design, build, and evolve an Azure- and Databricks-based cloud data platform, providing technical leadership and mentoring teams while driving Terraform-based IaC and DevOps practices in a hybrid Leeds (West Yorkshire) setting. Core tech: Azure, Databricks, Terraform, PySpark, Power BI, Power Automate.

Data Platform Lead Engineer

Role Description

We are seeking an experienced Data Platform Lead to drive the design, delivery, and evolution of a modern cloud-based data platform. You will provide technical leadership, shape platform architecture, engage with key stakeholders, and guide engineering teams in delivering scalable, secure, and high-performing data solutions.

Location: West Yorkshire-Multiple locations (Hybrid - 3 days onsite, mandatory)

Employment Type: Permanent | Fixed-Term Contract | Contract (Inside IR35)

Start Date: Immediate

Key Responsibilities

  • Lead the architecture, design, and implementation of Azure and Databricks-based data platforms.
  • Provide technical leadership, mentoring, and guidance to engineering teams.
  • Collaborate with business and technical stakeholders to define platform roadmaps and best practices.
  • Ensure platform scalability, reliability, security, and operational excellence.
  • Drive adoption of Infrastructure as Code and DevOps best practices using Terraform and Azure services.
  • Support strategic decision-making by aligning platform capabilities with business objectives.

Essential Skills & Experience

  • Strong hands-on experience with Databricks development and platform architecture.
  • Good understanding of Azure infrastructure, networking, and Terraform.
  • Proven experience in solution architecture, technical design, and stakeholder management.
  • Experience leading technical teams and driving delivery across multiple workstreams.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Self-motivated, proactive, and able to operate with minimal supervision
  • Exposure to Power BI and Power Automate.
  • Experience working within Agile delivery environments.

Key Requirements

  • Strong technical leadership and stakeholder engagement capabilities.
  • Ability to manage workload independently and drive initiatives proactively.
  • Experience designing and supporting enterprise-scale cloud data platforms.

Skills

ETL, Power Automate, Power BI, PySpark

Skills

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See also

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