Senior Analytics Engineer, Data Platform

The Data Platform team at Deel is composed of senior engineers focused on improving data quality, data pipeline performance, data development experience, and cost management of the data stack from ingestion to outbound integrations. As a Senior Analytics Engineer on the Data Platform team you will spend significant time crafting the future of our Snowflake data warehouse and ensuring it can scale with Deel's growth.

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

• Design and implement RBAC on Snowflake to meet all business and compliance requirements.
• Enforce data governance policies to maintain data integrity, security, and compliance with global data privacy regulations.
• 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 frameworks.
• Build data observability systems to provide near real-time visibility into errors, anomalous behavior, and late arriving data.
• Build a development environment and CI/CD system that will scale for years to come.
• Collaborate with cross-functional teams to understand data platform needs.
• Mentor other Analytics Engineers and ensure their work meets internal standards.

• Proficient in RBAC principles and implementation details in modern data warehouses.
• Proficiency in a data engineering tech stack:
• 5 years of experience writing complex, performant SQL to process and transform large-scale data sets.
• Deep dbt core experience (experience building on top of dbt core libraries is a plus).
• Experience with Snowflake or other cloud database platforms.
• Experience with workflow management frameworks like Airflow, Luigi, Dagster, etc.
• Proficiency in Python and/or another data-centric language.
• Experience building highly observable data systems.
• Familiarity with dimensional data modeling techniques and best practices.
• Strong attention to detail, data intuition, and a passion for data quality.
• Appreciation for good documentation and data debugging skills.
• Comfort with a rapidly changing environment with ambiguous requirements; nimble and willing to take intelligent risks.

Our workforce deserves fair and competitive pay and scalable benefits and perks. Our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you'll enjoy:

• Stock grant opportunities dependent on role, employment status, and location.
• Additional perks and benefits based on employment status and country.
• Flexibility of remote work including optional WeWork access.

Helping people overcome communication barriers is the heart of what we do. Founded in Germany in 2017 by a team of engineers and researchers, DeepL has developed the world’s most accurate AI translation technology—enabling real-time, human-sounding translation.

Accessible via a web translator, browser extensions, desktop and mobile apps, and an API, DeepL supports a best-in-class translation experience in 34 languages and counting. Our 550-person team operates across four European hubs in Germany, the Netherlands, the UK, and Poland.