Senior Analytics Engineer

Deel is one of the fastest SaaS companies ever to reach 100M revenue, and is very far along the way to become the fastest company to $1B revenue. Driven by an enormous market, and high speed of innovation, Deel has expanded their product suite and customer base by many orders of magnitude in the last few years. As Senior Analytics Engineer, you’ll work closely with our data team and stakeholders across the business

Deel is running on top of a modern data stack, with Fivetran, Snowflake, dbt (100s of data sources and 1000+ models), and Looker. As we scale, the challenges are growing exponentially, and there are many ways to make a big impact.

Duties:

As part of our data team, you’ll work closely with data engineers, analytics engineers and analysts across the business to develop our stack.
Build and own foundational data models that serve many downstream applications
Create and develop analytics engineering best practices to ensure we generate high-quality, maintainable, and scalable data models and products
Drive intelligent choices for the adoption of new technologies based on your extensive experience
Drive progress on our data observability practices, influencing upstream data quality, and ensuring downstream reliability in metrics
Create robust documentation to drive awareness and standardize analytics terminology

Requirements:

Expert in SQL (ideally 5+ years), dbt (ideally 1+ year)
Proficiency in at least one object-oriented programming language (Python, Java)
You’re a problem solver at heart, and find joy in complex challenges
Experience with version control technology
Experience in creating and maintaining high volume data models
Experience designing and implementing a data warehouse, with modern BI architecture
Excellent communication skills
You’re a team player, making everyone around you better

We'd especially love to speak with you if:

You hold a Bachelor's Degree in Computer Science, Math or equivalent
You have successfully led and completed projects with organizational impact (e.g., large-scale data model refactoring for better performance and maintainability)
You have multiple years of data engineering experience
You have worked in fast-growing B2B SaaS companies before
You have a proven track record of success in building a modern data foundation with dbt and LookML
You have experience with LookML
You have created tools to boost your own and your team's productivity

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