Senzo Group
Data Engineer | AI Startup | Equity
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Data Engineer - Well funded AI Startup
£60,000 - 70,000 + equity
London, Hybrid (2 days in the office)
This is an opportunity to join an early stage AI company as their third Data Engineering hire. Reporting to the VP of Engineering and working closely with an experienced Principal Data Engineer, you'll play a vital role in taking a live product through its next phase of growth whilst learning from some of the best in the business.
The platform brings together real time data, pricing intelligence and policy insight to deliver transparency across one of the world's most complex global supply chains. Sustainability sits at the heart of the product, with the work having clear real world impact beyond the technology itself.
Following a successful pilot, growing customer interest across the UK and plans to expand into the US, the business is now entering its next phase of growth. Backed by leading SaaS, FinTech and Climate investors, the focus is on strengthening the data foundations that will underpin the platform as it scales and accelerate its longer term AI roadmap.
You will take ownership of production data pipelines end to end, improving data quality and reliability while enabling analytics, dashboards and product features. The role offers meaningful responsibility from day one, alongside the opportunity to learn directly from senior technical leadership and shape how data is built and scaled as the platform grows.
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The role
- Build and maintain data pipelines that ingest, transform and serve data for product and analytics use cases.
- Integrate multiple internal and external data sources into a clean, reliable data layer.
- Work closely with engineering and product teams to ensure data is structured, modelled and delivered in a way that powers analytics, dashboards and customer facing product features.
- Help establish pragmatic best practices around data modelling, transformation and data quality.
- Take ownership of core data workflows as the platform evolves from MVP to scale.
- Contribute to the foundations that will support future Machine Learning and AI initiatives.
What you will get
- A role with genuine scope to grow as the Data Engineering function expands.
- Direct collaboration with experienced data and engineering leadership.
- Exposure to technically interesting, real world data problems.
- Equity alongside a competitive salary.
- Hybrid working with flex, typically two days per week in the London office.
- A small, senior team that values ownership, curiosity and thoughtful engineering.
- The opportunity to make a genuine impact within a business tackling one of the world's most important sustainability challenges.
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Core skills required
- Strong hands on experience with Python in production environments with at least 3-5 years' commercial experience.
- Solid Data Engineering fundamentals, including building and operating production pipelines.
- Experience designing data models and preparing data for analytics, reporting or customer facing applications.
- Experience working in AWS or another major cloud environment.
- Comfortable operating in systems that are still evolving, where not everything is fully defined yet.
- An interest in understanding how data is used across the product, not just how it is built.
Nice to have
- Experience with dbt or modern ELT style workflows.
- Familiarity with data ingestion tools such as Fivetran, Airbyte or similar.
- Exposure to data used in analytics or Machine Learning contexts.
- Experience working within an early stage or fast moving product business.
This is a chance to join early and play a meaningful role in shaping how data is built, used and scaled as the platform grows.
Unfortunately, sponsorship is not available.
Applicants must already be living in the UK.
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