Data Engineer - GCP

Posted Yesterday
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Sydney, New South Wales, AUS
In-Office
Mid level
Financial Services
The Role
Build, maintain and scale production data pipelines and platforms on GCP (BigQuery, Dataflow, Cloud Storage). Improve data quality, observability, governance and self-service capabilities; partner with engineers, analysts and product teams to design data models and datasets that inform business decisions.
Summary Generated by Built In
About this role

We’re looking for a Data Engineer to 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
Benefits 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 our Grow with Stake program, 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
So what happens next?

Once we’ve received your application, we’ll give it the attention it deserves. If we think you could be a great addition to the team, we’ll reach out to arrange an initial conversation and guide you through the recruitment process from there.

To all recruitment agencies: Stake does not accept agency resumes. Please do not forward resumes to our jobs alias or directly to Stake employees. Stake is not responsible for any fees related to unsolicited resumes.

Skills Required

  • Experience building and maintaining modern data platforms, pipelines and data products in production
  • Experience with modern data technologies on Google Cloud Platform 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
  • Familiarity with Metabase
  • Working knowledge of Docker and Kubernetes
  • Desire to stay up to date with GCP and emerging technologies (including AI)
  • Experience in fintech, regulated industries or with product analytics/experimentation (bonus)
  • Contributed to data governance, lineage or observability initiatives at scale (bonus)
  • Helped establish engineering standards, tooling or platform capabilities for growing teams (bonus)
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The Company
HQ: Sydney, New South Wales
129 Employees
Year Founded: 2017

What We Do

Stake is an investing platform on a mission to provide a seamless and immersive experience that breaks barriers for ambitious investors. Founded in Sydney by Matt Leibowitz and Dan Silver, Stake first gave Australians seamless access to U.S. stocks. Then we launched an ASX platform with $3 CHESS-sponsored trades, followed by an innovative SMSF alternative, Stake Super. Today Stake has grown into a robust financial services company with over 110 employees across Australia, New Zealand, Brazil and the UK. With more than A$2 billion in assets under administration, we serve a global customer base of 500,000+ investors who trust us to help them build their wealth.

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