omaze - Staff Data Engineer

• Build and maintain robust ingestion and processing pipelines from our product systems, third-party tools, and external partners, using modern, well-tested code that holds up as the business changes • Build the data quality, observability, and lineage frameworks that make decision-critical datasets trustworthy, and make problems easy to find and fix when they happen • Work with engineers across the organisation to ensure that events are properly constructed, with the right parameters and nomenclature, so that the data flowing into our platform is trustworthy by design, not by accident (potentially through data contracts) • Ensure that data pipelines to external sources (e.g. paid marketing channels such as Meta) are reliably sharing appropriate, compliant data • Lay the foundations to support data science and ML work as it grows, e.g. feature pipelines, training datasets, and the platform capabilities that make those things easy when we want them • Make the cost of running our data platform visible and well understood, pushing for efficiency in the places it makes sense, and bringing judgement to when ongoing spend is justified by the value it returns • Generally take responsibility for data governance and compliance, ensuring that how we collect, store, and use data is responsible, secure, and meets the regulatory bar Omaze operates at • Use AI-assisted and agentic coding tools as a natural part of your workflow; knowing when they add leverage, when to interrogate their output, and how to review AI-generated code with the same rigour you'd apply to anything else.