Senior/Staff Data Engineer

🕒 May 8

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Fonoa

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💳 Fintech

📋 Compliance

☁️ SaaS

💰 $60M Series B on 2022-07

Fintech • Compliance • SaaS

Fonoa is a global tax automation platform that revolutionizes tax compliance for businesses worldwide. It provides services such as tax ID validation, tax rate determination, compliant invoicing and e-invoicing, real-time tax data reporting, and domestic tax returns filing. By integrating seamlessly into various global markets, Fonoa aids companies in adhering to constantly changing tax regulations and supports tax compliance at the transaction level. The platform is particularly beneficial for marketplaces, software companies, and digital content providers by automating tax processing and ensuring compliance with evolving tax laws across more than 100 countries.

📋 Description

• 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

🎯 Requirements

• 5+ years of experience in a Data Engineering or similar role (Analytics Engineering, Backend Engineering with heavy data work) • Solid proficiency in SQL and at least one programming language (Python, Scala, or similar) • Experience building and maintaining ETL/ELT pipelines and working with data warehousing or lakehouse architectures • 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 • Experience with workflow orchestration tools • Strong communication skills and the ability to work with non-technical stakeholders and translate their needs into data solutions • Comfort with ambiguity and an ability to make pragmatic decisions with incomplete information • Prior experience bootstrapping a data platform or data function from scratch

🏖️ Benefits

• Ownership – engineers own what they build end-to-end • Simplicity – we break down complex problems into clear solutions • Thinking Big - we innovate with modern technologies (LLMs, AI Agents, etc.) to solve meaningful problems • Quality – scalable, maintainable systems are non-negotiable • Speed & iteration – we ship fast, learn, and improve continuously • Collaboration – we win as a team, not as individuals