Data/Analytics Engineer (AI)

TL;DR

Data/Analytics Engineer (AI): Building, optimizing, and maintaining data infrastructure for product and science teams, enabling access to secure and reliable data. Focus on designing scalable data pipelines, automating quality checks, and supporting state-of-the-art AI model training and deployment.

Location: Based in Paris HQ, France. This is a hybrid role requiring attendance at the office at least 3 days per week, with flexibility for remote work decided by managers. Employees are expected to maintain regular communication and be available during core working hours.

Company

hirify.global is a company focused on building, optimizing, and enhancing state-of-the-art AI models.

What you will do

• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure, automating data quality checks.
• Collaborate with cross-functional teams, including machine learning teams, to support model training, deployment pipelines, and feature stores.
• Optimize data storage, retrieval, processing, and queries for performance, scalability, and cost-efficiency.
• Define and enforce data governance, metadata management, and data lineage standards.
• Ensure data integrity, security, and compliance with industry standards.

Requirements

• Master’s degree in Computer Science, Engineering, Statistics, or a related field.
• 3+ years of experience in data engineering, analytics engineering, or a related role.
• Proficiency in Python and SQL.
• Experience with dbt.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).
• Strong analytical and problem-solving skills, with attention to detail.

Nice to have

• Experience with machine learning pipelines, MLOps, and feature engineering.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform).
• Background in building self-service data platforms for analytics and AI use cases.

Culture & Benefits

• Competitive salary and equity package.
• Health insurance and private pension plan.
• Transportation allowance, sport allowance, and meal vouchers.
• Generous parental leave policy.
• Flexible remote policy to support work-life balance.

Hiring process

• AI tools may be used to support parts of the hiring process, such as reviewing applications or assessing responses.
• Final hiring decisions are ultimately made by humans.