Platform Engineer

We are working with a leading technology advisory firm that is revolutionising professional services through innovation in data, AI, and cutting-edge technology. They empower businesses by delivering impactful solutions, valuing imagination, curiosity and continuous evolution in the tech landscape. The Role Support and improve enterprise data platform capabilities Provide technical guidance on Azure and Databricks architecture and operational practices Lead troubleshooting for complex platform and production issues Design, support, and optimise Azure-based data platform services Act as a technical representative, mentoring and collaborating with other engineers Drive automation initiatives for operational processes and platform tooling What You'll Need Strong experience with Azure cloud architecture and enterprise platform operations Expertise in Azure Data Factory, Azure Data Lake Storage, and Azure Function Apps Strong hands-on experience with Azure Databricks administration and engineering, including Unity Catalog and Databricks Workflows Experience with enterprise-scale data platforms, data ingestion, and pipeline operations Proficiency in Python scripting, GitHub Actions, and CI/CD pipelines Understanding of API integrations, authentication protocols, and secure cloud platform design What's On Offer Opportunity to work on a mission-critical enterprise cloud data platform Engage with a sophisticated Azure and Databricks environment Contribute to solutions that are secure, scalable, and maintainable Collaborative environment with a focus on technical leadership and continuous improvement Apply via Haystack today!

Support and improve enterprise data platform capabilities while providing technical guidance on Azure and Databricks architecture. Lead troubleshooting for complex production issues and drive automation initiatives for operational processes and platform tooling.

Candidates must have strong experience with Azure cloud architecture and enterprise platform operations, specifically with Azure Data Factory and Databricks. Proficiency in Python, CI/CD pipelines, and secure cloud platform design is also required.

Identified from the job description. Confirm important requirements above.

• Azure Cloud Architecture
• Azure Data Factory
• Azure Data Lake Storage
• Azure Function Apps
• Azure Databricks
• Unity Catalog
• Databricks Workflows
• Python
• GitHub Actions
• CI/CD Pipelines
• API Integration
• Cloud Platform Design
• Data Ingestion
• Pipeline Operations
• Automation
• Troubleshooting

• Engineering
• Data & Analytics
• Software
• Technology
• Consulting

Minimum experience

5+ years

Apply by

Aug 24, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level