Overview
At HSO / Aware, we're specialists in emerging tech—and we're growing fast across the ANZ region. We’re on the lookout for a Senior Data Platform Engineer who's technically sharp, thrives in a consulting environment, and loves solving real-world problems with cloud-native data solutions. You will be part of our Professional Services team, delivering impactful data projects for customers across a range of industries.
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.
Requirements
Must-Have 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. (We’re a Microsoft-only partner, so experience in other clouds is welcome, but you’ll need to show a willingness and ability to work in 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.What Makes a Senior At Our Company
To thrive in this role, you’ll bring :
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.Excellent learning agility and curiosity.Strong complex problem-solving skills in dynamic environments.Benefits
Awesome and exciting work (ongoing learning opportunities). Our recent staff survey showed this is a key motivator for the team.Trust and honesty. We upskill our leaders in emotional intelligence, empathy, and courageous conversations.Flexible working. You can work from the office or from home; manage your own calendar.Access to advanced technologies and robotics to explore.Commitment to work-life balance. Time-in-lieu is tracked if you work overtime.Healthy fuel for productive brains : snacks, espresso, team lunches, and home baking.Modern office space with ergonomic desks, strong tech setups, and greenery.Details
Seniority level : Mid-Senior levelEmployment type : Full-timeJob function : Information TechnologyIndustries : Technology, Information and InternetWellington, Wellington, New Zealand
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