AI-Driven Data Engineer — Hybrid & Growth

Welovedevs; Bordeaux; Hybrid; EUR 60,000 - 110,000; Full time

Benefits offered by this job

Paid leave

RTT days

Health insurance

Transport reimbursement

Hybrid work model

Training catalog

Office rooftop

Internal events

Sports classes

Job summary

Betclic in Bordeaux seeks a data engineer to design, build, and maintain scalable data pipelines powering analytics, BI, and AI use cases. You will model data across Bronze to Gold layers and ensure reliable, self-service analytics for business squads such as Sports, Casino, and Growth.

You will work in autonomous squads within a fast-growing tech company, embracing an AI-augmented data culture and an on-site presence with remote flexibility. Fluency in English is required.

Qualifications

• At least 4 years of experience in data/analytics/BI engineering or software engineering with a data focus.
• Strong ability to design, build and maintain data products for analytics and AI.
• Experience with modern data engineering practices and cloud environments.

Responsibilities

• Design, build, and maintain robust data pipelines.
• Model data for analytics, BI, AI, and self-service use cases.
• Create Bronze/Silver/Gold data models and semantic layers.
• Transform complex business needs into durable data solutions.
• Improve data quality, performance, governance, and observability.
• Deliver end-to-end data flows using code-driven tech stacks.

Skills

Data engineering

Analytics

BI engineering

Software engineering

Cloud environments

Automation

AI tools

English fluency

Tools

Snowflake

dbt

Airflow

GitHub Actions

SQL

Job description

Betclic in Bordeaux seeks a data engineer to design, build, and maintain scalable data pipelines powering analytics, BI, and AI use cases. You will model data across Bronze to Gold layers and ensure reliable, self-service analytics for business squads such as Sports, Casino, and Growth.

You will work in autonomous squads within a fast-growing tech company, embracing an AI-augmented data culture and an on-site presence with remote flexibility. Fluency in English is required.