The ideal candidate will be responsible for building, owning, and continuously improving the data foundations that support product analytics and decision-making. Beyond technical execution, this role requires strong autonomy, sound judgement, and the ability to understand and contextualise data within product and business objectives. We are seeking a Data Engineer who proactively identifies gaps, asks the right questions, and partners with stakeholders.
This role emphasises data reliability, event tracking, and scalable pipelines, with a strong focus on enabling analysts and product teams to derive trusted, decision-ready insights.
Detailed responsibilities and requirements are outlined in the attached document, including but not limited to:
- Building, owning, and evolving product data foundations to support analytics and experimentation.
- Designing and implementing event-level tracking across web and product surfaces, with a clear understanding of product intent and usage behaviour.
- Constructing and managing databases and associated data marts aligned to analytical and business needs.
- Developing and maintaining end-to-end data pipelines from source systems to the data warehouse and downstream dashboards.
- Ensuring data quality, reliability, and observability, including validation, monitoring, and proactive issue detection.
- Enabling scalable dashboards and self-serve analytics, with consideration for usability and interpretability.
- Collaborating closely with Product, Analytics, and Business teams to translate requirements into robust data solutions and to advise on best practices.
We are seeking candidates with:
- Demonstrated experience building data pipelines for analytics or product data.
- Strong proficiency in SQL and data modelling.
- Hands-on experience with event tracking, preferably with Google Analytics 4 and Big Query.
- Familiarity with AWS.
- A proven track record in ensuring data quality, reliability, and monitoring.
- The ability to work autonomously, understand product and business context, and make informed recommendations that improve data outcomes.
