Senior Analytics Engineer

at  Snowplow Analytics

ABOUT SNOWPLOW

Snowplow, the global leader in customer data infrastructure (CDI) for AI, enables every organization to own and unlock the value of its customer behavioral data.
The Snowplow CDI fuels AI-driven marketing, digital products and services, customer experiences and fraud detection, by enabling companies like Burberry, Strava, and AutoTrader to collect and manage real-time, structured and unstructured behavorial data governed in their cloud data platform.
With thousands of companies relying on Snowplow worldwide to generate AI-ready data to uncover deeper customer journey insights, predict customer behaviors, optimize differentiated customer experiences, and detect fraud; we are at the forefront of transforming how data-driven organizations leverage their customer behavioral data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.

THE OPPORTUNITY

We are looking for a Senior Analytics Engineer to join our Engineering team. The team you will be joining is focused on the technologies that our customers and community use to collect data (our trackers and webhook integrations) and prepare it for their various use cases (our SQL data models). You will also be working on helping our customers get to valuable insights faster through automated modelling solutions.
You will be joining a wider team of 30+ remote engineers who work closely with our product, support, and customer teams. There is a huge opportunity to learn more about all aspects of engineering and data, from code to customer where you will be responsible for helping improve the experience of thousands of data teams worldwide.

• Developing and maintaining a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution.
• Building out our offering around data modeling. You won’t just work on the data models themselves - you’ll work closely with Product and the wider Engineering team to shape the way we collect data via our trackers to build better data models, and drive what data model tooling we provide as part of our commercial offering as well.
• Supporting our prospect/customer facing teams by showcasing the possibilities with Snowplow data, such as powering personalisation and recommendation systems, or developing advanced models (marketing attribution, lifetime value, etc.).
• Being an active part in decision making on what we build to help our customers get more value out of Snowplow, and how we deliver it. You’ll bring a different perspective and we’ll want your input!
• Responsible for developing and productizing data models, focusing on scalability, performance and maintainability, and developing in-depth understanding of cloud data warehouses and common web and mobile analytics use cases. This is an area of growing focus at Snowplow; you will have the opportunity to work alongside our Product team on defining how our data modeling offering will evolve over time.