Data Engineer Aws - Snowflake - Dbt H/F

About KatchMe

KatchMe is a recruitment firm specializing in IT & Digital positions for permanent and freelance roles, based in Paris and Bordeaux. Since 2017, we have been supporting clients ranging from start-ups and scale-ups to large corporations such as Datadog, Doctolib, LVMH, Tag Heuer, Sephora, Molotov.tv, and VeePee across France, Europe, and the USA.

Following the opening of the Freelance and KPO (RPO) divisions, KatchMe has continued to grow over the years with new projects driven by its team of 26 employees.

As experts in IT (Software/Web Development, Infrastructure/DevOps, Data) and Digital (Product Management, UX/UI Design, Project Management), we aim to improve the daily lives of many people!

KatchMe offers:

• 24 consultants specialized in the Tech and Digital markets
• A startup that has changed the daily lives of over 1000 people since its creation (figures updated in 2022)
• Three values that represent us both internally and externally: transparency, communication, and support
• A strong social commitment with sponsorship of the Rêves Association (fulfilling the dreams of seriously ill children), the Football Sports Association of Garches Hospital, and the SEM association (support for sick children)
• A company where anything is possible (opening new divisions or offices abroad)
• 250m2 of beautiful, brand-new offices located 2 minutes from Saint-Lazare train station, and beautiful offices in Bordeaux just steps from the quays!

Build the Foundation of AI Systems in Production

You are not joining a classic data project.

You are joining a rapidly accelerating Data & AI division that is building the technical bricks behind AI use cases already in production at major industrial clients (including pharmaceutical).

The challenge is not just about doing data.

The challenge is to make AI reliable, usable, and industrializable.

Without you, AI hallucinates.

With you, it becomes a business product.

What You Will Actually Build

• Critical data pipelines (ingestion, transformation, exposure)
• Snowflake architectures used for real-time AI use cases
• Data models designed to reduce LLM hallucinations
• Clean, scalable, and industrializable datasets
• A data layer that directly feeds business AI products
• Modern cloud environments (AWS-first)

Real Stack (Modern and Production-Oriented)

AWS, Snowflake, DBT, Advanced SQL

Openness to GCP / Azure / Databricks ecosystems

What Makes This Role Different from Others on the Market

• You work on AI use cases already in production (not POCs)
• Your pipelines directly feed products used by business teams
• You are at the heart of the AI value chain (not an isolated technical component)
• Strong proximity to AI / GenAI teams
• Modern stack, oriented towards real performance and scalability
• Human-scale environment with immediate visible impact

Why It's Interesting Now

The division is structuring itself around a clear ambition:

to move from AI experimentation to large-scale industrialized systems

Specifically:

• Strong growth in Data & AI teams
• Projects already funded and in production
• Rapid scaling logic
• Opportunities for evolution towards architecture or AI engineering

Profile Sought

• 2 to 6+ years in data engineering
• Very good SQL level + modeling
• Cloud experience (AWS, GCP, or Azure)
• Modern data sensibility (quality, structuring, performance)
• AI curiosity highly valued