Data Engineer - Remote

Overview

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

In Short

• We're looking for a Data Engineer to build and optimise scalable data pipelines.
• Work closely with data scientists, analysts, and engineers.
• Ensure access to high quality, reliable data.
• Implement ETL/ELT best practices at scale.
• Create and maintain APIs and microservices.
• Monitor data quality and identify issues.
• Collaborate across teams to address diverse data needs.
• Continuously optimise data pipelines for performance.
• Maintain comprehensive documentation of data flows.
• Commit to improving product quality through testing.

Requirements

• 2+ years of experience in deploying production quality code.
• Proficiency in Python and related data processing packages.
• Deep understanding of SQL and analytical data warehouses.
• Hands-on experience with data pipeline tools like Airflow and dbt.
• Strong data modelling skills using Kimball methodology.
• Ability to design and develop robust data APIs.
• Commitment to quality and performance through testing.
• Meticulous documentation skills.
• Ability to work collaboratively across teams.
• Exceptional analytical and problem-solving skills.

Benefits

• Competitive salary and benefits.
• Remote working options.
• Opportunity to work at the forefront of AI innovation.
• Access to a unique human data platform.
• Impactful, mission-driven culture.