Overview

London/Hybrid – UK/Remote

About Snowplow: Snowplow is the global leader in customer data infrastructure for AI, enabling organizations to transform raw behavioral data into governed, high-fidelity fuel for AI-powered applications—including advanced analytics, real-time personalization engines, and AI agents. Snowplow powers real-time data processing and insights for a wide range of customers, helping them collect, process, and securely deliver event-level data to their warehouses, data lakes, or streams.

Snowplow serves digital-first companies and thousands of customers who rely on its platform to uncover customer insights, predict behaviors, hyper-personalize experiences, and detect fraud in real time.

The Opportunity

You’ll join the AI team at an exciting moment as we build Snowplow Signals — our new solution for enabling real-time, AI-powered customer experiences. Your work will contribute to the infrastructure that powers these capabilities, unlocking value from behavioral data in real time. You’ll also help maintain and enhance dbt-based components that accelerate customers’ time to insight.

This role blends data collection, SQL-based transformation, and high-level intelligence to support real-time pipelines for analytics, personalization, and emerging agentic experiences.

What you’ll be doing

• Developing and maintaining a suite of production SQL data models used by our customer base and community, primarily focusing on dbt for packaging and execution
• Collaborating with Product and Engineering to shape data collection via trackers, build better data models, and define tooling for our commercial offering
• Building and optimizing real-time and batch data pipelines that power personalization, recommendation engines, and predictive models — from streaming ingestion and transformation using Benthos to materializing features for agentic use cases and customer-facing AI systems
• Supporting prospect/customer facing teams by demonstrating Snowplow data capabilities, such as powering personalization and recommendation systems or developing advanced models (e.g., marketing attribution, lifetime value)
• Participating in decisions about what to build to deliver value to customers and how to deliver it, providing a different perspective and input
• Developing and productizing data models with a focus on scalability, performance, and maintainability; developing deep understanding of cloud data warehouses and common web and mobile analytics use cases

Qualifications / Requirements

• SQL and dbt are your strengths. You master SQL, including handling large data sets and performance tuning
• Experience with both batch and streaming data processing; familiarity with streaming tooling (e.g., Benthos) for real-time ingestion, transformation, and delivery
• Understanding of feature engineering and management; familiarity with tools like Feast for defining, materializing, and serving features in real-time and batch contexts
• Extensive experience with Python used for generating data models
• Engineering background with CI/CD and Git; experience with testing frameworks
• A proactive learner who can adapt to new technologies essential for automating models and advancing engineering practices
• Familiarity with cloud technologies and experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery)
• Experience with modern data modeling technologies (DBT)
• Clear documentation and communication; some technical writing experience is a plus
• Ability to work autonomously and drive technical initiatives from discovery to delivery
• Pragmatic approach balancing speed of delivery with reliability and trusted service for customers
• Strong collaboration skills for remote teamwork and effective communication

What We Offer You in Return

• A competitive package, including share options
• Flexible working
• A generous holiday allowance no matter where you are in the world
• MacBook and home office equipment allowance
• Enhanced maternity, paternity, shared parental and adoption leave
• Snowplow is dedicated to building and supporting a brilliant, diverse and inclusive team. We don’t discriminate based on gender, race, religion or belief, disability, age, marital status or sexual orientation. We welcome anyone with talent, drive and emotional intelligence.

Other

Employment is conditional upon the successful completion of background screening and verification of right-to-work documentation in accordance with applicable laws.