Senior DataOps Engineer F/M

• Innovation: Design cutting-edge data solutions with a seasoned team, on projects involving cloud-native, serverless, and real-time streaming architectures.
• Impact: Support Data Scientists and Analysts in deploying algorithms via APIs and scalable cloud architectures, while guiding Data Engineers in building robust pipelines for high data volumes.
• Automation: Optimize workflows using Infrastructure as Code (IaC) and CI/CD pipelines with Terraform and GitHub Actions.
• Security: Ensure security best practices in collaboration with our Cloud and Cybersecurity experts, while managing FinOps and system architecture principles.
• Performance: Maintain and monitor our ecosystem (Data Lake, Data Streaming, APIs) using Datadog to ensure 24/7 availability, while driving technological improvements to anticipate business needs.
• Knowledge Sharing: Write clear documentation, mentor junior team members, and nurture team spirit.

TECHNICAL ENVIRONMENT

• Languages/Tools: Python, Scala, Rust
• Cloud: AWS (Lambda, Kinesis, DynamoDB, Fargate, etc.)
• Data: Airflow, Flink, Snowflake, SQL, dbt
• DevOps: GitHub Actions, Terraform, Datadog

At Betclic, we rely on a modern, cloud-first tech stack designed to handle critical data volumesefficiently. If you're passionate about technical challenges and emerging technologies, this role is for you!

At Betclic, the European leader in gaming and online betting, technology is at the heart of our DNA. As a Senior DataOps Engineer, you'll join our Data Platform team, made up of DataOps, MLOps experts and architects, renowned for their technical excellence and ability to handle massive real-time data volumes.

Your mission? Contribute to a high-performance, innovative data platformthat processes millions of daily transactions-all in a collaborative, dynamic, and friendly environment.

With 4 to 5 years of experience, you'll play a key role in evolving our data ecosystem, working with modern technologies and a skilled team, with opportunities to make a direct impact on the business., * 4 to 5 years of experience working on large-scale data projects (Data Lakes, Streaming, Pipelines) in a public cloud environment (AWS, GCP, or Azure).

• Proven ability to design complex, scalable, and cost-efficient data systems.
• A passion for technical excellence and a rigorous mindset.
• Autonomy combined with a strong team spirit and a desire to share knowledge.

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., At Betclic, success comes from passionate and committed teams. Here's why you'll love working with 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 1,300 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!, About two weeks later, you will either take a technical test with one of our Data Ops experts or work on a case study to present to Laurent and Xavier. Next, you will meet Xavier, your future manager, followed by Laurent Head Of Data Platform. Finally, Maxime will conduct a final HR interview to review your AssessFirst results together. The recruitment process usually takes between 4 to 6 weeks to ensure an optimal experience for you.