Job vacancy Senior Analytics Engineer, Data Platform

Who we are and what we do

Deel is a global team that helps businesses hire anyone, anywhere, easily. Deel consists of more than three thousand self-driven individuals spanning over 100 countries. Our unified yet diverse culture keeps us continually learning and innovating the Deel platform and our products for customers.

Companies should be able to hire the best talent anywhere in the world, so we are building the best platform to make that a reality. Our market-leading technology, expertise, and global team are crucial to the success of Deel’s platform. We deliver the best products and platform features in our space, enabling millions of jobs worldwide and connecting the global workforce with the best companies and opportunities.

Why should you be part of Deel's success story?

A 30-mile hiring radius should no longer dictate how companies hire because great talent lives everywhere. Deel sees a world without hiring borders and endless talent that pairs perfect candidates with great companies.

We offer global teams all the tools they need to hire, onboard, manage, pay, and scale at full speed. We aim to foster a diverse global economy by building a generational platform that seamlessly connects companies with talent worldwide.

After our successful Series D in 2021, we raised another $50M last year, doubling our valuation to $12B.

There’s never been a more exciting time to join Deel — the market leader in international payroll and compliance.

The Team

The Data Platform team at Deel is composed of senior engineers focused on improving data quality, data pipeline performance, platform tooling, and cost management of the entire data stack from ingestion to outbound integrations (and everything in between). As a Senior Analytics Engineer on the Data Platform team, you will spend significant time crafting the future of our DBT monorepo and ensuring it can scale with 30+ Analytics Engineers and 100+ data professionals embedded in business units across Deel.

We work cross functionally with analysts, analytics engineers, data scientists, ML engineers, software engineers, and leadership to accomplish these goals. 

As a Senior Analytics Engineer on our Data Platform team you will:

• 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

What you’ll need to be successful in this role: 

• 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