About this role
We're looking for aData Engineerto join our Data team in Sydney.
Data powers some of the most important decisions at Stake.
From understanding customer behaviour and measuring product impact to improving operational efficiency and uncovering new opportunities, our data platform helps teams move with confidence.
As a Data Engineer, you'll build the foundations that help Stake scale.
You'll create trusted, accessible and high-quality data systems that empower teams across the business to make better decisions, faster.
Working closely with engineers, product managers, analysts and stakeholders, you'll solve complex problems, improve critical systems and create leverage for others.
You'll play a key role in shaping the future of our data platform while contributing to products and experiences used by hundreds of thousands of customers.
We work in a hybrid model, spending three days a week in our beautiful, dog-friendly Sydney office.
What success looks like
Within your first year, you'll have:
Built and evolved reliable, scalable data pipelines that become foundational to how Stake operates and makes decisions
Increased trust in data across the business by improving quality, observability, governance and documentation
Enabled product, operations and commercial teams to move faster through self-service data capabilities and thoughtfully designed datasets
Partnered closely with engineers and analysts to define and implement scalable data models that support critical business outcomes
Improved the performance, efficiency and maintainability of our data platform as customer and data volumes continue to grow




Helped establish best practices for data engineering, modelling, testing and platform reliability
Influenced how Stake measures success by creating robust datasets and metrics that inform strategic decision-making
Become a trusted technical partner across the business, known for solving complex problems with clarity, pragmatism and impact
You'll thrive here if...
You have strong experience building and maintaining modern data platforms, pipelines and data products in production environments
You care deeply about data quality, reliability and creating systems other teams can depend on
You're comfortable working across the data stack, from ingestion and transformation through to modelling and consumption
You combine strong technical judgement with a practical mindset, balancing long-term platform health with business needs
You communicate clearly, simplify complexity and enjoy partnering with people across technical and non-technical teams
You take ownership, move with urgency and enjoy solving problems that have meaningful customer and business impact
Technical skills
Experience with modern data technologies on Google Cloud Platform (GCP), including BigQuery, Cloud Storage and Dataflow
Strong proficiency in SQL and data manipulation




Working knowledge of Python or another programming language
Experience with data warehousing and data modelling concepts
Understanding of data governance principles and best practices
Experience with reporting and visualisation tools, preferably Metabase
A desire to stay up to date with developments across GCP and emerging technologies, including AI
Working knowledge of Docker and Kubernetes is ideal, but not essential
Bonus if you've...
Worked in fintech, financial services or another highly regulated industry
Built data platforms supporting product analytics, experimentation or customer-facing products
Worked with modern cloud data platforms such as BigQuery
Contributed to data governance, lineage or observability initiatives at scale
Helped establish engineering standards, tooling or platform capabilities for growing teams
Advantages of working at Stake
At Stake, you'll have the autonomy to make an impact while learning from some of the best people in the industry.
You'll play a meaningful role in building a company with strong momentum, ambitious goals and plenty of opportunities to grow.
Along the way, you'll also enjoy a range of benefits through ourGrow with Stakeprogram, including:
Professional development allowance
Up to 16 weeks of paid parental leave
Childcare allowance
Wellbeing support
Annual leave swap days
Discretionary performance bonus
Stake products, including a 30% discount on an annual self-managed super fund (SMSF) membership, a $295 annual trading credit and a Stake Black account
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📌 Data Engineer - Gcp (New South Wales)
🏢 Stake Australia
📍 New South Wales