Data Engineer/Data Platform Engineer
Location: VIC - Cremorne - 57 Balmain St
Time Type: Full time
Job Description
Data Engineer/Data Platform EngineerAbout Reece
The Reece name is probably best known for plumbing. But we’re much more than that. We're radically transforming our business through data & digital solutions. And we’re looking for a talented Data Engineer to help us do it.
Company Benefits
- A secure career with a proud Australian company
- Learning & career development opportunities
- Team member discounts on company products
- 18 weeks paid parental leave and flexible work options available
About the role
As part of reecetech, you’ll join a 200+ strong team that handles everything from Product Management and Engineering to Data & AI. You’ll be part of an exceptional team that builds extensible platforms and solutions that solve real customer problems at scale.
The Data Engineering team plays a critical role in enabling intelligent, responsible and scalable data-use across the organisation - ensuring our people can make the most of their data by providing a cloud-based data platform on AWS and Databricks, Power BI and other tools.
As a Data Engineer, you will design, build and support the cloud-native data platform and its pipelines and services that power analytics, ML/AI, and operational data products across the business. You’ll work as part of multidisciplinary teams to solve real business problems, contribute to the evolution of our data platforms, and help shape the engineering culture and standards within Reecetech.‑native data platform and its pipelines and services that power analytics, machine learning, and operational data products across the business. You’ll work as part of multi‑disciplinary teams to solve real business problems, contribute to the evolution of our data platforms, and help shape the engineering culture and standards within Reecetech.
Key responsibilities
You will:
- Contribute to reecetech’s data cloud ecosystem — including AWS, Databricks, and emerging tools.
- Develop high quality, reusable code and patterns for ingestion, modelling, storage, and orchestration.
- Implement data quality, observability, and governance practices to ensure reliable and trustworthy data products.
- Work closely with analysts, AI/ML engineers, product teams, and domain experts to understand problems and deliver fit for purpose data solutions.
- Contribute to greenfield data platform enhancement initiatives.
- Collaborate with other data engineers to shape the way the team operates end-to-end data solutions
About you
You are an enthusiastic data professional who:
- Brings integrity, empathy and a growth mindset into everything you do
- Has a customer centric approach to problem solving, along with solid organisational skills and an ability to prioritise tasks
- Has experience working with modern cloud data platforms — preferably AWS and Databricks – and developing data pipelines using Python/PySpark.
- Has developed strong SQL skills for data modelling, transformation, and analytical workloads.
- Understands modern data warehousing, ETL/ELT patterns, and data modelling concepts.
- Understands software engineering fundamentals and disciplines, including how to write modular, reusable and testable code
If this feels like the right fit for you, apply now!
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