# Senior/Staff Data Engineer

[Fonoa](https://gurify.com/jobs?q=Fonoa) · London, United Kingdom · Posted 4 months ago

Principal

[Data](https://gurify.com/jobs/data)

[Apply on the original posting → (opens in a new tab)](https://jobs.ashbyhq.com/fonoa/21284dc5-4b66-4a78-8a17-2ea40873f92e)

## Job description

Fonoa is the Tax Operating System for autonomous tax. AI that tracks every rule, acts on every obligation, and proves every decision, built on modular infrastructure.

Fonoa’s modules cover the full indirect tax lifecycle: tax ID validation, real-time tax determination, e-invoicing, and returns. All on one shared data model and integration, with one audit trail. Each added capability makes the others stronger.

Agents monitor obligations, populate returns, catch anomalies and assemble audit packs in seconds. The system does the work. Humans make the calls. That’s autonomous tax.

We operate across 120+ countries, with clients going live in weeks, if not days.

Trusted by Canva, Netflix, Spotify, Uber, Zoom and Booking.com. Rated 4.5/5 stars and a High Performer on G2 and 4.6/5 stars on Gartner Peer Insights.

### Find out more: www.fonoa.com http://www.fonoa.com

### ABOUT ENGINEERING AT FONOA

Engineering is central to how we build the business. We focus on solving real customer problems, not just shipping features. We work in small, high-trust teams, with full ownership across the lifecycle, from design to production and beyond.

### We value:

- 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

### POSITION OVERVIEW

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.

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.

### What Will You Do

### Data Platform Foundations

- 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

### Data Integration & Access

- 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

### Exploration & Value Discovery

- 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

### Collaboration & Enablement

- 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 We Are Looking For

- 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

### Bonus Points If You Have

- 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

### 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

### API DOCUMENTATION

For engineers, API design and structure are an important part of evaluating a role. You can explore our API and how we build products here: https://docs.fonoa.com/

### TECH STACK

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

Note:
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.

As part of the recruitment process at Fonoa, we process your personal data in accordance with our Privacy Notice for Job Applicants https://www.fonoa.com/legal/privacy-notice-job-applicants. This notice explains how and why your data is collected and used, and how you can contact us if you have any concerns.

**Live in Fonoa’s hiring system.** Read from the company's own applicant tracking system, not reposted from a job board — so it's a real, open requisition rather than an ad that outlived the role.

We remove it as soon as it disappears at source.

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looks like at Fonoa and shape the roadmap accordingly\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003ECollaboration \u0026amp; Enablement\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EWork closely with the Infrastructure team on cloud resources, networking, and security considerations for data workloads\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPartner with Finance, Operations, and Product to understand their reporting and analytical needs, and translate those into reliable, queryable data products\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EShare knowledge and advocate for data engineering best practices across the organisation\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EWhat We Are Looking For\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003E5\u002B years of experience in a Data Engineering or similar role (Analytics Engineering, Backend Engineering with heavy data work)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ESolid proficiency in SQL and at least one programming language (Python, Scala, or similar)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience building and maintaining ETL/ELT pipelines and working with data warehousing or lakehouse architectures\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EHands-on experience with modern data stack tooling \u2014 particularly a columnar warehouse (BigQuery, Snowflake, or similar), a transformation layer (dbt or equivalent), and an ingestion/CDC tool (Airbyte, Fivetran, or similar)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EFamiliarity with cloud platforms (GCP preferred) and their data services\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience with workflow orchestration tools\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EStrong communication skills and the ability to work with non-technical stakeholders and translate their needs into data solutions\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EComfort with ambiguity and an ability to make pragmatic decisions with incomplete information\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EPrior experience bootstrapping a data platform or data function from scratch\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EBonus Points If You Have\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EExperience with data visualisation and BI tools (Metabase, Looker, Superset, or similar)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EBackground working in a product-oriented SaaS company\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExperience working with financial or operational data (revenue, billing, reconciliation)\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EExposure to infrastructure-as-code and DevOps practices\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EWhat Success Looks Like\u003C/h3\u003E\u003Cul\u003E\u003Cli\u003EA first iteration of an internal data platform is running, consolidating data from key systems into a reliable, queryable layer\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003ENon-technical stakeholders can access and explore data relevant to their work without needing engineering support for every question\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EClear patterns and documentation exist for how data is ingested, transformed, and consumed\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EYou have identified and delivered at least one high-impact data use case that demonstrably adds value to the business or product\u003C/li\u003E\u003C/ul\u003E\u003Ch3\u003EAPI DOCUMENTATION\u003C/h3\u003E\u003Cp\u003EFor engineers, API design and structure are an important part of evaluating a role. You can explore our API and how we build products here: https://docs.fonoa.com/\u003C/p\u003E\u003Ch3\u003ETECH STACK\u003C/h3\u003E\u003Cp\u003EWe use these technologies today, but we don\u2019t hire for specific tools. We care about engineers who can understand problems, make good technical decisions, and choose the right tools for the job.\u003C/p\u003E\u003Cul\u003E\u003Cli\u003EBackend: Node.js, Go\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EFrontend: React, TypeScript\u003C/li\u003E\u003C/ul\u003E\u003Cul\u003E\u003Cli\u003EInfrastructure: GCP, k8s, Terraform, Postgres\u003C/li\u003E\u003C/ul\u003E\u003Cp\u003ENote: \u003Cbr /\u003EIf you don\u2019t think you have the full experience we\u2019re looking for, but you could be a fit and are willing to learn, do apply anyway! 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