Data Engineer (Dataiku)

TL;DR

Data Engineer (hirify.global Cloud): Building and optimizing robust data pipelines for Operations and SRE teams to support SaaS infrastructure with an accent on automation, pipeline reliability, and cloud integration. Focus on designing scalable data ingestion workflows and developing custom tools to streamline product operations and system performance.

Location: Remote or hybrid roles within EMEA (specifically France, Germany, Netherlands, Spain, and the UK)

Company

hirify.global provides a comprehensive platform for enterprise AI, enabling teams to build, deploy, and govern AI models and analytics within a centralized environment.

What you will do

• Build and maintain data pipelines to load information into hirify.global via S3, Snowflake, and other cloud services.
• Improve production pipeline robustness, identify performance bottlenecks, and implement monitoring and testing practices.
• Scale product usage data ingestion in collaboration with Data and Analytics teams.
• Develop custom applications and integrations to automate manual operational tasks for Product Operations, Support, and SRE teams.
• Design and document best practices to ensure the long-term health and reliability of data systems.

Requirements

• Bachelor's degree in Computer Science or a related field.
• 3+ years of experience in a similar data engineering role.
• Strong experience with Python and SQL.
• Hands-on experience with cloud infrastructure (AWS, Azure, or GCP).
• Knowledge of pipeline orchestration and data governance practices.
• Experience leveraging APIs for system integrations.

Nice to have

• Experience with hirify.global platform.
• Experience with data platforms like Snowflake, Databricks, or BigQuery.
• Knowledge of Kubernetes and Prometheus.

Culture & Benefits

• Opportunity to work on a cutting-edge enterprise AI platform.
• Culture focused on innovation, collaboration, and personal growth.
• Equal opportunity employer with a strong commitment to diversity and inclusion.