Senior Analytics Engineer at Snowplow

At Snowplow, we are the global leaders in customer data infrastructure for AI. We empower organizations to take full ownership of their behavioral data, fueling everything from fraud detection to personalized customer experiences. With a $40 million Series B investment led by NEA, we support industry leaders like Burberry, Strava, and AutoTrader in unlocking the value of their data. We are currently looking for passionate individuals to join our mission as we continue to define how data-driven companies leverage insights at scale.

The role

We are seeking a Senior Analytics Engineer to join our engineering team on a full-time basis. This is a senior-level position based in the United Kingdom, offering a hybrid work environment with occasional travel to our London office. You will be part of a collaborative, remote-first team of over 30 engineers, working closely with our product and customer-facing departments to improve the data experience for thousands of users worldwide.

Core responsibilities

• Develop and maintain a robust suite of production SQL data models, with a primary focus on using dbt for packaging and execution.
• Collaborate with our product and engineering teams to shape our data collection trackers and expand our commercial data modeling offerings.
• Support customer-facing initiatives by demonstrating the power of Snowplow data for advanced use cases, such as marketing attribution, lifetime value modeling, and recommendation systems.

Skills and experience

To be successful in this role, you should possess the following qualifications:

• Mastery of SQL, including performance tuning and the manipulation of large datasets.
• Extensive experience with dbt and modern data modeling practices.
• Strong software engineering background, including proficiency in Python, Git, and CI/CD workflows.
• Practical experience working with cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
• A proactive mindset with the ability to drive technical initiatives autonomously from discovery to delivery.
• Excellent communication skills, with a preference for candidates who have experience in technical content writing.

Compensation and benefits

We are committed to supporting our team members both professionally and personally. Our benefits package includes:

• A competitive salary package that includes share options.
• Flexible working hours and a generous paid time off policy.
• A dedicated home office equipment allowance and a company-provided MacBook.
• Support for your well-being, including a cycle-to-work scheme and one week of annual volunteering time for a cause you care about.
• Enhanced parental leave policies, including maternity, paternity, and adoption support.

How to apply

If you are excited about building the future of customer data infrastructure and want to work with a team that values innovation and collaboration, we would love to hear from you. Please submit your application to join our growing team, and let us know how your unique background and perspective can help us continue to deliver reliable, high-impact solutions for our customers.