Senior Analytics Engineer (AI)

Location: Paris, France; hybrid model, typically 2 days remote per week.

Company

hirify.global operates a global circular fashion marketplace that enables people to buy and sell fashion more sustainably.

What you will do

• Design, build, and maintain scalable, high-performance data pipelines and reusable analytical data products using dbt, Snowflake, and Airflow.
• Transform complex raw data into structured, reliable, accessible data models with testing and documentation.
• Own analytical data products from design and delivery through continuous improvement, evolution, and retirement, considering performance, maintainability, and cost.
• Improve analytics engineering foundations, including CI/CD, orchestration, monitoring, deployment, tooling upgrades, and collaboration with Data Platform Engineering.
• Partner with Finance, Operations, Commercial, Marketing, CRM, Product, and other teams to translate business needs into scalable data solutions and communicate technical decisions and trade-offs.
• Explore AI-assisted engineering tools across ingestion, transformation, testing, documentation, and deployment, while helping establish quality and ownership best practices.

Requirements

• 3–5 years of relevant experience in Analytics Engineering, Data Engineering, BI Engineering, or a similar role.
• Hands-on experience designing, deploying, and maintaining large-scale, efficient ETL, ELT, or reverse ETL pipelines.
• Strong SQL and data transformation skills with dbt, including complex transformations and modular, reusable data models.
• Experience with Snowflake, BigQuery, PostgreSQL, or another modern data warehouse, including performance and cost considerations.
• Experience with Airflow or a comparable tool for orchestration, scheduling, and dependency management.
• Experience using Python for data processing, workflow automation, or data tooling.
• Experience with GitHub, CI/CD, automated testing, monitoring, and observability.
• Ability to work autonomously, manage dependencies, take accountability for data products and technical initiatives, and communicate technical decisions and trade-offs clearly.
• Strong communication, problem-solving, and engineering-quality skills, with the ability to work with technical and non-technical stakeholders.
• Practical experience or strong interest in applying AI-assisted engineering tools to data development.

Nice to have

• Prior exposure to e-commerce platforms, two-sided marketplaces, or high-volume AdTech ecosystems.

Culture & Benefits

• Purpose-driven work focused on circularity, reducing waste, and extending the life of luxury items.
• Products used globally with measurable impact across more than 70 countries.
• International environment with colleagues from more than 50 nationalities across Paris, London, Berlin, New York, Singapore, and Ho Chi Minh City.
• Career growth, early ownership, continuous feedback, dedicated learning budget, and opportunities to work on AI, marketplace dynamics, and scalability.
• Hybrid flexibility with trust and autonomy, plus 2 paid days per year to support a cause of choice.
• Bonus, health coverage, lunch vouchers, Gym-Pass, and additional legal benefits depending on location.