AI-Augmented Data Engineer F/M

WE ARE BETCLIC

Betclic, European leader in sports betting, is much more than just an online gaming site Also offering Poker, Horse Racing, and Casino games across various countries and continents, it is an inspiring and forward-thinking company: every day brings new challenges in a modern and dynamic environment. As an influential player in the tech industry, with strong and sustained growth over the years, we believe in innovation through diversity and inclusion and encourage everyone to reach their full potential. With our multicultural team, we provide an optimal, safe and responsible gaming experience, powered by cutting-edge technology.

WHY JOIN US?

An international and creative environment where every project is an opportunity to innovate

Hypergrowth that brings new challenges and development opportunities every day

A healthy work-life balance: flexible remote work and workplace well-being are essential pillars for us.

A unique and friendly atmosphere, with 1,600 employees across 5 countries and our headquarters in Bordeaux

Are you passionate about sports and tech? Join us and help shape the future of online gaming

ENTER THE GAME

At Betclic, data is at the heart of our products, our decisions, and the experience of millions of players across Europe and Africa.

As part of our GOAT 2030 strategic plan, Groundbreaking, Original, AI Everywhere, Trustworthy, we are building the next generation of Data Engineering: cloud-native, as-code, self-service, agentic, and AI-augmented.

We are not just looking for a Data Engineer. We are looking for a curious, creative and demanding professional who knows how to approach problems differently, accelerate delivery with AI, and share a modern culture of data engineering.

You will join one of our business-oriented data squads: Sports, Casino, Poker, Horse Racing, Payment, Account, Growth/Marketing, Safer Gaming, Fraud, Care, or Support Functions.

Your work will have a direct impact on major sports events, real-time player experience, content personalization, frictionless payment processes, fraud prevention, responsible gaming, compliance, and business performance.

The visible part for our business teams is Omni and self-serve analytics. The real engine is what you build behind it: reliable, scalable, tested, documented data products used every day by teams who truly depend on them.

You will evolve within a fast-growing tech company, in an autonomous domain-oriented squad, with a strong product culture and a clear ambition: making AI a concrete lever for excellence, growth, and performance.

YOUR ROLE WITHIN BETCLIC

Design, build, and maintain robust data pipelines.

Model data for analytics, BI, AI, and self-service use cases.

Build Bronze, Silver, Gold, Semantic Layer, and Exposition Layer data models.

Transform complex business problems into simple, durable, and scalable data products.

Contribute to the increasing challenges of reactivity, freshness, and near real-time data needs.

Implement a complete Tech Flow based on an “as-code everywhere” approach, covering the full delivery lifecycle: design, build, testing, integration, deployment, documentation, and monitoring.

Improve the quality, performance, governance, and observability of our data pipelines.

TECHNICAL ENVIRONMENT

Snowflake dbt Airflow GitHub Actions SQL Omni Full Cloud CI/CD everything as-code ChatGPT / Codex Claude Code Upcoming technologies and areas of exploration include Iceberg Tables, ClickHouse, and other next-generation data engineering solutions.

At Betclic, AI is not a gadget. It is part of the way we design, code, document, test, challenge, and accelerate projects.

Culture around AI

ChatGPT, Codex, and Claude Code Prompts, rules, skills, agents, and customized workflows Agentic solution design Vibe engineering applied to production-grade contexts. Let’s be clear: if AI is only an improved search engine for you, this role is probably not the right fit.

But if you have already built your own methods, prompts, rules, agents, or skills to work faster and better, we definitely want to hear from you.

WHO ARE WE LOOKING FOR?

You have at least 4 years of solid experience in a demanding data, analytics, BI engineering, or software engineering environment with a strong data focus. You have strong experience with modern Data Engineering or Analytics Engineering practices. You are technically curious, creative, and constantly learning. You are demanding when it comes to quality, performance, scalability, and maintainability. You are able to transform unclear business needs into clear and reliable data solutions. You are comfortable working in autonomous squads and cloud environments. You enjoy automation, knowledge sharing, and continuous improvement. You understand the value