How you will make a difference:

We’re seeking a Principal Software Engineer to lead the development of our Spend Analytics application, helping customers gain actionable insights into workforce spend, reconcile EoR workers to invoices, and make smarter decisions.

This hands-on role involves leading a small cross-functional team (~3 engineers) and owning the technical direction of our data models, pipelines, and visualisations using AWS QuickSight, dbt, and our broader AWS data platform. You’ll collaborate closely with Product, Finance, Operations, and Customer Success teams to translate complex business questions into scalable analytics solutions.

How you will make a difference:

• Own the Spend Analytics application end-to-end – from data modelling and pipelines through to dashboards and customer-facing analytics features.

• Design and implement dbt models and data transformations that are reliable, well-tested, and aligned to domain-driven data contracts.

• Shape and optimise AWS QuickSight assets (dashboards, datasets, KPIs, row-level security, etc.) to provide clear, performant, self-service analytics for internal and external users.

• Collaborate with Data Engineering and Product to define event schemas, data contracts and interfaces between operational systems and the analytics layer.

• Champion data quality and governance – define testing strategies (e.g. dbt tests), data validation and monitoring to ensure trust in Spend Analytics outputs.

• Lead by example as a hands-on technical leader – pairing, reviewing code, and setting engineering standards for the team.

• Mentor and support a small team of engineers, helping them grow their skills in analytics engineering, data modelling and BI tooling.

• Translate business questions into technical solutions – partner with Finance, Revenue Operations and Customer Success to understand use cases and turn them into pragmatic, incremental deliverables.

• Drive performance, security and scalability across the analytics stack, ensuring solutions are production-grade and ready to scale with customer demand.

• Contribute to our broader data and analytics strategy, sharing patterns and best practices with other teams and helping us build a consistent approach to data products.

• Monitor delivery and platform health, report on key engineering metrics (reliability, performance, delivery throughput) and continuously improve ways of working.

What will give you an advantage:

• Significant experience as a Senior/Principal Engineer working on data/analytics-heavy products or BI platforms.
• Strong hands-on experience with AWS QuickSight (or similar BI tools) - including building complex dashboards, modelling datasets and implementing access controls.
• Practical experience with dbt in production: data modelling, tests, documentation, macros, and CI/CD for analytics code.
• Excellent SQL skills and solid understanding of data warehousing concepts (dimensional modelling, star schemas, slowly changing dimensions, etc.).
• Experience with the AWS analytics stack (for example S3, Glue, Redshift, Athena, Lambda, Lake Formation or similar cloud-native services).
• Background in TypeScript/JavaScript or Python for data and application development is a strong plus.
• Proven track record of leading and mentoring engineers and setting technical direction for a product or platform.
• Comfortable working closely with Finance / Revenue Operations stakeholders, translating financial or operational requirements into data models and metrics.
• Strong understanding of software development life cycles, including code review, testing, CI/CD, observability and secure-by-design principles.
• Experience designing and running self-service analytics experiences for non-technical users.
• Ability to communicate clearly with both technical and non-technical stakeholders, balancing short-term delivery with long-term platform health.