Principal Data Engineer

Principal Data Engineer

We're building a modern technology platform that applies data engineering and AI to a problem with real global consequence: proving trust and transparency in supply chains. Our work helps protect people from exploitation, gives brands and producers confidence in what they sell, and supports more sustainable choices for the planet.

From a tech perspective, this is greenfield - designing scalable, cloud-native systems and AI-driven products that turn complex data into evidence customers can stand behind. You'll be working on hard, meaningful problems, with real ownership, close collaboration with product and leadership, and the opportunity to shape both the technology and the impact it delivers as we scale.

We're a global team across London, Auckland, Singapore, and Washington D.C.

Key Responsibilities

• Define and own the technical strategy and architecture for our entire data platform: ingestion, storage, processing, governance, and consumption

• Design and implement scalable, reliable ETL/ELT pipelines handling complex scientific datasets, supply chain inputs, and business data

• Lead the design of canonical data models for our data warehouse and operational stores, ensuring quality, consistency, and integrity

• Define and maintain a single source of truth for clients, suppliers, and transactions across systems (Salesforce, NetSuite, internal databases)

• Implement data governance, security policies, automated quality checks, and robust monitoring across all pipelines

• Work with the infrastructure team to provision Azure data resources using Terraform or equivalent IaC tooling

• Partner with our Science teams to ensure accurate ingestion and translation of raw scientific data

• Mentor engineers across the team on best practices for building and consuming data services

Skills & Experience

Essential

• 7+ years in data engineering, with significant time in a Principal, Lead, or Architect role defining data strategy

• Deep, practical experience with Databricks — architecture and implementation

• Strong hands-on experience across the Azure data stack: Data Factory, Data Lake, Synapse Analytics, Azure SQL/Cosmos DB

• Expert-level Python and SQL, with a strong focus on clean, tested, performant data processing code

• Proven track record designing and implementing scalable data warehouses and data marts

• Experience with workflow orchestration, CI/CD for data pipelines, and IaC (Terraform)

Desirable

• Experience with scientific, geospatial, or time-series data

• Background in governance or compliance environments

• Familiarity with streaming data technologies

The Recruitment Process

We like to keep our recruitment process smooth and efficient, giving you the opportunity to showcase your skillset in a comfortable environment. The process for this position is a 2-stage interview and short take home task.

Company Benefits

• Paid Leave- 35 days (inclusive of public holidays) + your birthday off

• Volunteering Leave Allowance

• Enhanced Parental Leave

• Life Insurance

• Healthcare Cash Plan

• Employee Assistance Programme (EAP)

• Pension

• Monthly Wellbeing Allowance

• Breakfast, Snacks, Friday lunch & Barista Coffee Machine in the office

• Learning Portal with over 100,000 assets available to support professional development