Senior Data & Platform Engineer

At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year.

We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started.

We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day:

🧙🏽 Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion.

💪🏼 Tenacious Innovator

🧤 Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming.

🏗️ Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without.

This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives.

We are seeking a Senior Data Platform Engineer to play a key individual-contributor role in shaping and scaling FLOX’s data platform, based in London with hybrid working. This is a senior IC position, reporting to our engineering director with high technical ownership and autonomy, responsible for designing, building, and operating the core data systems that power FLOX’s AI and analytics products. You will work closely with platform engineers, CV/ML engineers influencing platform architecture and engineering standards. We are looking for someone experienced in analytics-heavy or complex data domains who is motivated to turn raw, multimodal data into trusted, decision-ready intelligence for customers, at speed and scale.

This role is central to FLOX’s mission of converting data into actionable intelligence and has a direct impact on how our platform supports customer decision-making as the company scales towards a Series A milestone and beyond.

Key Responsibilities:

• Engineering Excellence & Transformational Value: Design, build, and operate the core data platform that reliably transforms high-volume farm data into decision-ready datasets powering FLOX’s AI and analytics products.
• Production-Grade Application Deployment: Build and maintain scalable, highly available data pipelines and services with strong data quality, observability, and operational reliability.
• Best-in-Class Data Engineering: Design and optimise batch and streaming data pipelines across cloud data platforms (e.g. Snowflake, Databricks, or similar), balancing performance, cost, and long-term maintainability.
• Advanced Data Modelling (Ontology & Knowledge Graphs):

Data & Platforms

• Multimodal data sources including computer vision outputs, IoT sensors, and operational/customer datasets
• Terabyte-scale data processing across cloud and edge environments
• Cloud data platforms and warehouses (e.g. Snowflake, Databricks, or similar)
  
  
  
  

Data Engineering & Services

• Python for data pipelines, platform tooling, and data services
• Batch and streaming data processing (e.g. Kafka or equivalent)
• Relational and NoSQL data stores (e.g. PostgreSQL, MySQL, MongoDB)
  
  
  
  

Platform & Reliability

• Containerised environments using Docker and Kubernetes (AWS-managed)
• Monitoring and observability tooling (e.g. Prometheus, Grafana, ELK)
• CI/CD and infrastructure tooling used across the wider platform
  
  
  
  

Cloud

• AWS as the primary cloud environment, with exposure to multi-cloud setups where relevant
  
  

• 5+ years of experience in data platform engineering roles within analytics-heavy, fast-paced tech/product companies.
• Experience in big data and analytics heavy application development is highly preferred, demonstrating a clear understanding of applied data challenges to solve real world problems.
• Proven track record of working effectively within integrated product teams composed of ML Engineers, Data Scientists, Platform Engineers, and Application Engineers.
• Deep expertise in Snowflake or similar architecture and management.

• Up to £90k p.a. depending on experience and location
• Hybrid working, in the office twice a week with flexibility
• Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like

We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.