Data Engineer - Corporate Services

About the role

TechnologyOne is hiring a Data Engineer for its IT & AI Enablement team in Corporate Services. You will design, build and maintain scalable data pipelines, data models and platform capabilities that integrate information across the enterprise, replacing manual extracts and one-off integrations with reliable, reusable infrastructure. You will work across the TechnologyOne platform, ERP, CRM and service management systems, collaborating with Data Analysts and stakeholders in Finance, HR, Sales and Delivery.

Key responsibilities

• Design and build reliable data pipelines and models supporting operational and analytical needs
• Shape the data platform by adding new capability on the existing Databricks PaaS
• Design scalable data ingestion patterns aligned to enterprise architecture, security and access-control standards
• Identify and remediate duplicate, incomplete, conflicting or poorly governed data across core systems
• Establish common definitions for key enterprise measures to improve reporting, analytics and AI outputs
• Build secure, performant and cost-effective cloud data solutions with monitoring and management controls
• Design, implement and optimise Databricks batch and streaming workflows using Python, Spark and SQL
• Monitor, troubleshoot and improve pipeline performance, reliability and cost efficiency

Required profile

• Proven experience architecting data platform solutions using Databricks, AWS and custom systems
• Experience building or remediating complex enterprise data estates, including data quality, common definitions and governance patterns
• Hands-on experience with Terraform modules, CI/CD pipelines and Git or Bitbucket workflows
• Ability to translate business requirements into practical technical solutions

Required skills

• Strong engineering in Python, Spark and SQL, including ETL best practices on Databricks
• Experience designing, managing and implementing Databricks Unity Catalog
• Experience with Azure, AWS, Data Cloud, QuickSight or similar platforms is highly regarded

What we offer

• Competitive remuneration package and employee share plan
• Salary packaging options and up to 10 extra days of leave via the Purchase Leave program
• Flexible hours, family-friendly approach and 2.5 extra days of leave for volunteering
• Free regional gym membership (or a new onsite gym at HQ)
• Full access to LinkedIn Learning and a career framework