Senior Data Platform Engineer

Summary

Join HSO/Aware, a rapidly growing specialist in emerging tech in the ANZ region, as a Senior Data Platform Engineer. You will be part of the Professional Services team, delivering impactful data projects for diverse clients. This role involves designing and implementing modern data platforms using Azure services, building scalable ETL pipelines, and working directly with clients. You will translate business needs into technical solutions, mentor others, and explore emerging technologies. The ideal candidate will have strong experience in data engineering, cloud engineering (Azure preferred), and consulting. HSO/Aware values collaboration, curiosity, and personal/professional growth.

Requirements

• Demonstrate recent (1–3 years) experience in Data Engineering using Databricks or Microsoft Fabric
• Strong experience in modern cloud engineering with a clear preference for Azure
• Proven experience with Azure Purview, Azure Data Factory, Azure Synapse Analytics, Power BI, or their equivalents
• Experience building cloud systems that wrangle raw data and surface it for reporting or AI workloads
• Solid ETL/data integration skills using Spark, Python, or similar tools
• A background in consulting or professional services, with the ability to manage multiple client deadlines
• Strong interpersonal skills and confidence working directly with clients
• High learning agility and the ability to problem-solve across a range of data domains
• Ability to explain technical solutions to non-technical audiences

Responsibilities

• Design and implement modern data platforms using Azure Databricks, Microsoft Fabric, Azure Synapse, Data Factory, Power BI, and Purview
• Build scalable ETL pipelines using Spark, Python, and other modern tools
• Work directly with clients to understand their needs and deliver high-value, billable outcomes
• Translate business ideas into technical architecture and data platform solutions
• Mentor others and contribute to our internal capability uplift
• Stay curious and explore emerging tech like Machine Learning, IoT, and Infrastructure-as-Code

Preferred Qualifications

• Advanced business acumen and the ability to align technical solutions with strategic goals
• High emotional intelligence and a collaborative mindset
• Clear and confident communication across technical and business audiences
• Proven technical leadership in data platform engineering
• Exceptional learning agility and curiosity
• Strong complex problem-solving skills in dynamic environments

Benefits

• Awesome and exciting work (AKA ongoing learning opportunities)
• Trust and honesty
• Flexible working
• Awesome tech to play with
• We're serious about work-life balance
• Fuel for productive brains
• All the standard niceties you expect from a shiny modern office space - ergo desks, great tech set up for each team member, cool demos to show off and some greenery to keep it zen