Senior Analytics Engineer

Summary

Join Snowplow, a leader in customer data infrastructure, as a Senior Analytics Engineer. Based in London with UK remote options, you'll be part of a team focused on data collection technologies and SQL data models. You will develop and maintain production SQL data models, primarily using dbt, and build out the data modeling offering. Collaborate with product and engineering teams to improve data collection and tooling. Support customer-facing teams by showcasing Snowplow data capabilities and actively participate in decision-making. This role offers significant opportunities for growth and impact within a remote-first engineering team.

Requirements

• SQL and DBT are your thing. You master SQL, including manipulation of large data sets, performance tuning, etc
• You are not new to engineering. You have extensive experience using Python, CI/CD, and Git source control. You have experience with testing frameworks
• You are a proactive learner. Eager to expand on your software engineering knowledge and adapt to new technologies essential for automating models and advancing our engineering practices
• You’re familiar with cloud technologies. You have experience working with data in a cloud data warehouse (Redshift, Snowflake, Databricks, or BigQuery)
• Experience with a modern data modeling technology (DBT) and BI tool (Looker, Tableau, etc.)
• You document and communicate clearly. Some experience with technical content writing would be a plus
• You are excited to work autonomously. You are able to drive technical initiatives from discovery until to the delivery phase
• You know we can’t do everything today. You’ll be pragmatic and balance our speed of delivery with our commitment to providing a reliable and trusted service to customers
• You want to join a remote team that depends on expert collaborators to work effectively. You’ll be a great communicator and enjoy working closely with the team

Responsibilities

• Develop and maintain a suite of production SQL data models used by our customer base and the community. Primarily focusing on dbt for packaging and execution
• Build 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
• Support 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.)
• Be 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

Benefits

• 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
• Cycle to work scheme
• 1 week of volunteering a year for a cause you feel passionate about
• Enhanced maternity, paternity, shared parental and adoption leave