Senior Analytics Engineer

Summary

Join Deel's Data Platform team as a Senior Analytics Engineer and contribute to the development and improvement of our data infrastructure. You will design and implement scalable data models, optimize SQL queries, and enhance data processing frameworks. Collaborate with cross-functional teams to meet data platform needs and ensure data integrity and compliance. This role requires proficiency in a data engineering tech stack, including SQL, DBT, and experience with cloud databases. You will mentor other engineers and contribute to a world-class development environment. Deel offers competitive pay, benefits, and perks, including remote work flexibility and stock grant opportunities.

Requirements

• Proficiency in a data engineering tech stack
• 5+ years of experience writing complex, performant, readable SQL to process and transform large scale data sets
• Deep DBT core experience required (experience building on top of dbt core libraries would be awesome)
• Experience with Snowflake desired (or other cloud database platform)
• Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc
• You are proficient in Python and/or another data centric language
• You have experience building highly observable data systems
• You are familiar with dimensional data modeling techniques and best practices
• You have an eye for detail, good data intuition, and a passion for data quality
• You appreciate the importance of great documentation and data debugging skills
• You are comfortable working in a rapidly changing environment with ambiguous requirements. You are nimble and take intelligent risks

Responsibilities

• Design and implement scalable and efficient data models for our Core data mart
• Develop and optimize SQL queries for analytical and reporting purposes
• Improve data team productivity by contributing components to our data processing, transformation, orchestration, and messaging framework(s)
• Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data
• Build a world-class development environment and CI/CD system that will allow our systems to scale for years to come
• Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data platform needs
• Enforce data governance policies and practices to maintain data integrity, security, and compliance with global data privacy regulations
• Mentor other Analytics Engineers on the team, help them grow, and ensure their work meets internal standards

Benefits

• Provided computer equipment tailored to your role
• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including WeWork access where available