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HSO

Senior Data Platform Engineer

Reposted 16 Days Ago
Be an Early Applicant
In-Office or Remote
5 Locations
Mid level
In-Office or Remote
5 Locations
Mid level
Design and implement modern data platforms, build ETL pipelines, mentor team members, and engage directly with clients to deliver data solutions.
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Description

At HSO/Aware, we’re specialists in emerging tech—and we’re growing fast across the ANZ region. That means we’re on the lookout for a Senior Data Platform Engineer who’s not just technically sharp, but also thrives in a consulting environment and loves solving real-world problems with cloud-native data solutions. 

Why Join Us? 

We’re a tight-knit, high-performing team that values curiosity, collaboration, and a good dose of banter. Our people come from all walks of life, and we celebrate the diverse perspectives that make us better at what we do. We work on exciting projects with forward-thinking partners, and we’re serious about supporting your personal and professional growth. 

About the Role 

You’ll be part of our Professional Services team, delivering impactful data projects for customers across a range of industries. Every day is different, and every project is an opportunity to learn something new. 

You’ll: 

  • 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 

To be a match for this role, you’ll need to demonstrate: 

  • 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: 

  1. Advanced business acumen and the ability to align technical solutions with strategic goals. 
  1. High emotional intelligence and a collaborative mindset. 
  1. Clear and confident communication across technical and business audiences. 
  1. Proven technical leadership in data platform engineering. 
  1. Exceptional learning agility and curiosity. 
  1. Strong complex problem-solving skills in dynamic environments. 
Benefits
Additional perks:
  • Awesome and exciting work (AKA ongoing learning opportunities). Our recent staff survey said that this was a key thing our team loves about Aware and the good news is it's not something we're ever looking to change.
  • Trust and honesty. We upskill our leaders in things like emotional intelligence, empathy, and courageous conversations.
  • Flexible working. You are the master of your own calendar; make it work to achieve both your personal and professional outcomes. Whether you want to work from the office or work from home we're up for it. 
  • Awesome tech to play with. We get to work with lots of advanced robotics and toys that most people won't get to see for years.
  • We're serious about work-life balance. We don’t really like people working overtime, but if you do, we track time-in-lieu to ensure you’re paid for every hour you work.
  • Fuel for productive brains. Think snack drawers, espresso machines, team lunches, and being treated to home baking possibly too often 🤤
  • 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.

Top Skills

Azure Databricks
Azure Purview
Azure Synapse
Data Factory
Microsoft Fabric
Power BI
Python
Spark

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