Data/Analytics Engineer (AI)

TL;DR

Data/Analytics Engineer (AI): Building and maintaining data infrastructure and scalable data pipelines with an accent on ETL processes and analytics infrastructure. Focus on optimizing data storage, retrieval, processing, and queries for performance, scalability, and cost-efficiency.

Location: Based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week).

Company

hirify.global is democratizing AI through high-performance, optimized, open-source and cutting-edge models, products and solutions.

What you will do

• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions.
• 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 and data warehousing solutions.
• 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.
• Transportation and sport allowance.
• Meal vouchers and private pension plan.
• Generous parental leave policy.

Hiring process

• Intro call with Recruiter - 30 min.
• Hiring Manager Interview - 30 min.
• Technical interview - Live Coding (Python/SQL) - 45 min.
• Technical interview - System Design - 45 min.
• Value talk interview - 30 mins.