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AI-Augmented Data Engineer
Betclic GroupAI-Augmented Data Engineer developing data solutions for Betclic's online gaming products. Building data pipelines and models for analytics, BI, and AI in a hybrid work setting.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining data pipelines, modeling data for analytics and BI, and implementing scalable data solutions. Proficient in modern data engineering practices with a focus on quality, performance, and automation in cloud environments.
Highest-signal resume keywords
Data Pipeline DesignData ModelingAnalytics EngineeringCloud EnvironmentsAI Tools Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringBusiness IntelligenceData TransformationData GovernanceData Performance OptimizationScalable Data ProductsTech Flow ImplementationData ObservabilitySelf-Service AnalyticsProduct-Oriented Data Engineering
Soft Skills
Technical CuriosityCreativityContinuous ImprovementKnowledge SharingAutonomous Work
Industry Keywords
Data AnalyticsAI-Augmented WorkData QualityData ScalabilityData Maintainability
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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 reactivity, freshness, and near-real-time data needs
- Implement a complete Tech Flow based on an “as-code everywhere” approach
- Improve the quality, performance, governance, and observability of data pipelines
Requirements
What you’ll need- At least 4 years of solid experience in a demanding data, analytics, BI engineering, or software engineering environment with a strong data focus
- Strong experience with modern Data Engineering or Analytics Engineering practices
- Technically curious, creative, and constantly learning
- Demand for quality, performance, scalability, and maintainability
- Ability to transform unclear business needs into clear and reliable data solutions
- Comfortable working in autonomous squads and cloud environments
- Enjoy automation, knowledge sharing, and continuous improvement
- Understand the value of product-oriented data engineering
- Excited by AI-augmented ways of working and already use AI tools to improve productivity and delivery quality
- Fluent in English
Benefits
Comp & perks- 25 days of paid leave and 10 RTT days
- A Ticket Restaurant® card credited with €11 per day (€6 per day funded by Betclic)
- 100% health insurance coverage for you and your children
- 50% reimbursement of public transport costs or an annual sustainable mobility allowance (€230 for commuting with sustainable transport)
- Hybrid work model
- Access to a vast training catalog, with opportunities for professional development every year
- Extraordinary office spaces with a rooftop where you can enjoy sunny breaks with a view of the Cité du Vin
- Internal events to liven up your daily life
- On-site sports classes and organized tournaments (Pilates, circuit training, boxing, yoga, futsal, padel, tennis…)