Senior/Staff Data Engineer

• As Fonoa continues to scale globally, we are looking for a Data Engineer to help us bootstrap an internal data platform from the ground up. Working closely with the Infrastructure team, you will play a foundational role in unlocking the value hidden across our different systems and make data accessible to both technical and non-technical stakeholders in a seamless way
• This is not a role where you’ll walk into a mature data stack with well-defined requirements. We have data spread across multiple systems and services, and we need someone who can help us experiment, iterate, and discover how to best add value to the business and our products through data
• You’ll be exploring what’s possible, building the first versions of pipelines and tooling, and shaping the direction of data engineering at Fonoa
• Design, build, and iterate on the foundational data infrastructure that will become Fonoa’s internal data platform
• Evaluate and select appropriate tools and technologies based on our needs, scale, and team capabilities
• Establish patterns and best practices for data modelling, cataloguing, and documentation, and data governance and quality standards early on
• Connect and consolidate data from multiple internal systems and services into a unified, queryable layer
• Build interfaces and tooling that enable non-technical users (including Product, Finance, Operations) to consume data independently
• Ensure data quality, consistency, and reliability across sources through validation and monitoring
• Partner with stakeholders across the business to understand their data needs and identify high-impact opportunities
• Prototype dashboards, reports, and data products to test hypotheses about where data can drive decisions
• Help define what “data-driven” looks like at Fonoa and shape the roadmap accordingly
• Work closely with the Infrastructure team on cloud resources, networking, and security considerations for data workloads
• Partner with Finance, Operations, and Product to understand their reporting and analytical needs, and translate those into reliable, queryable data products
• Share knowledge and advocate for data engineering best practices across the organisation
• What Success Looks Like
• A first iteration of an internal data platform is running, consolidating data from key systems into a reliable, queryable layer
• Non-technical stakeholders can access and explore data relevant to their work without needing engineering support for every question
• Clear patterns and documentation exist for how data is ingested, transformed, and consumed
• You have identified and delivered at least one high-impact data use case that demonstrably adds value to the business or product
• We use these technologies today, but we don’t hire for specific tools. We care about engineers who can understand problems, make good technical decisions, and choose the right tools for the job
• Backend: Node.js, Go
• Frontend: React, TypeScript
• Infrastructure: GCP, k8s, Terraform, Postgres

Benefits

• Stake in the company: You’ll have equity in Fonoa so when we win, you win.
• 25 days paid time off (PTO):Relax, recharge, and come back ready to conquer the (tax)w world.
• Team offsites: Departments and teams organize their own offsites throughout the year - to collaborate, strategize, and spend time together.
• Lunch on us: Bi-Weekly team lunches: Bond with colleagues in the office or virtually.
• Home office allowance: Want a more comfortable chair? Need a new monitor? Would you like to make your space more inspiring? Create the perfect setup at home.
• FUNoa: Once a year, we bring the entire company together for learning, bonding, and fun in a unique and inspiring location somewhere in the world.- This is a highly collaborative, hands-on role for someone who thrives in ambiguity, brings curiosity and proactivity, and is energised by the challenge of building something from scratch rather than maintaining something that already exists
• Strong communication skills and the ability to work with non-technical stakeholders and translate their needs into data solutions
• Experience with workflow orchestration tools
• Solid proficiency in SQL and at least one programming language (Python, Scala, or similar)
• 5+ years of experience in a Data Engineering or similar role (Analytics Engineering, Backend Engineering with heavy data work)
• Prior experience bootstrapping a data platform or data function from scratch
• Hands-on experience with modern data stack tooling — particularly a columnar warehouse (BigQuery, Snowflake, or similar), a transformation layer (dbt or equivalent), and an ingestion/CDC tool (Airbyte, Fivetran, or similar)
• Familiarity with cloud platforms (GCP preferred) and their data services
• Comfort with ambiguity and an ability to make pragmatic decisions with incomplete information
• Experience building and maintaining ETL/ELT pipelines and working with data warehousing or lakehouse architectures
• If you don’t think you have the full experience we’re looking for, but you could be a fit and are willing to learn, do apply anyway! We are building a diverse and inclusive team
• Experience with data visualisation and BI tools (Metabase, Looker, Superset, or similar)
• Background working in a product-oriented SaaS company
• Experience working with financial or operational data (revenue, billing, reconciliation)
• Exposure to infrastructure-as-code and DevOps practices