Data Platform Engineer

Harnham; Newcastle upon Tyne; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Cutting-edge data & AI initiatives

Job summary

Harnham is seeking a senior data/platform engineer to own a cloud-based Azure data platform and drive reliability and evolution of the data environment. You will lead platform decisions, collaborate with Infra, Security, Architecture and Engineering teams, and mentor data engineers to remove barriers and accelerate AI enablement.

The role focuses on modern data architectures, CI/CD, and IaC, with a hybrid work model including two days in Newcastle.

Qualifications

• Strong experience in Data Eng, Platform Eng or similar field.
• Excellent Azure experience within enterprise-scale environments.
• Experience supporting and optimising cloud-based data platforms.
• Strong knowledge of Azure Data Factory, Databricks and modern data architecture principles.
• Experience with CI/CD, Azure DevOps, Git and Infrastructure-as-Code tools such as Terraform.
• Strong knowledge of Python and platform automation.
• Experience making technical and architectural decisions.
• Excellent stakeholder management and problem-solving skills.
• Experience within regulated environments would be beneficial.

Responsibilities

• Own and oversee a cloud-based enterprise data platform built on Azure technologies.
• Act as the technical lead for platform-related decisions, scalability and performance improvements.
• Work closely with Infrastructure, Security, Architecture and Engineering teams.
• Ensure platform reliability, governance, monitoring and operational excellence.
• Troubleshoot complex platform, networking, storage and integration issues.
• Drive best practice across CI/CD, automation and Infrastructure-as-Code.
• Support Data Engineers by removing technical barriers and improving platform capabilities.
• Contribute to platform modernisation, AI enablement and continuous improvement initiatives.

Skills

Data Eng

Platform Eng

Cloud Eng

Azure

Data Factory

Databricks

CI/CD

Python

Stakeholder Mgmt

Problem Solving

Tools

Terraform

Azure DevOps

Git

Job description

THE COMPANY

Our client is a global professional services firm with thousands of employees operating across multiple international regions. They are continuing to invest significantly in technology, analytics and AI, creating a sophisticated data environment that supports business-critical decision making and innovation. This role sits within a growing technology function and offers the opportunity to work on a strategic platform at the centre of the organisation's future data roadmap.

THE ROLE

• Own and oversee a cloud-based enterprise data platform built on Azure technologies


• Act as the technical lead for platform-related decisions, scalability and performance improvements


• Work closely with Infrastructure, Security, Architecture and Engineering teams


• Ensure platform reliability, governance, monitoring and operational excellence


• Troubleshoot complex platform, networking, storage and integration issues


• Drive best practice across CI/CD, automation and Infrastructure-as-Code


• Support Data Engineers by removing technical barriers and improving platform capabilities


• Contribute to platform modernisation, AI enablement and continuous improvement initiatives

YOUR SKILLS AND EXPERIENCE

• Strong experience in Data Engineering, Platform Engineering, Cloud Engineering or a similar field


• Excellent Azure experience within enterprise-scale environments


• Experience supporting and optimising cloud-based data platforms


• Strong understanding of Azure Data Factory, Databricks and modern data architecture principles


• Experience with CI/CD, Azure DevOps, Git and Infrastructure-as-Code tools such as Terraform


• Strong knowledge of Python and platform automation


• Experience making technical and architectural decisions


• Excellent stakeholder management and problem-solving skills


• Experience within regulated environments would be beneficial

SALARY AND BENEFITS

• Hybrid working model (2 days per week in Newcastle office)


• Exposure to cutting-edge Data, Cloud and AI initiatives


• Opportunity to influence enterprise-wide platform strategy


• Collaborative and highly technical engineering environment