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PayPal Sr Data Engineer 
France, Auvergne-Rhône-Alpes 
264719215

Yesterday

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This job will will lead the design and implementation of complex data systems and architectures. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data engineering, ensuring data quality, and building platforms with LLM driven insights.

Essential Responsibilities:

  • Lead the design and development of complex data pipelines for data collection and processing.
  • Develop and maintain advanced data storage solutions.
  • Ensure data quality and consistency through sophisticated validation and cleansing processes.
  • Implement advanced data transformation techniques to prepare data for analysis.
  • Collaborate with cross-functional teams to understand data requirements and provide innovative solutions.
  • Optimize data engineering processes for performance, scalability, and reliability.

Expected Qualifications:

  • 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Your day to day

  • Own the BI lifecycle:From ETL and data quality to visualization, documentation, and intelligent alerting, ensuring seamless BI operations

  • Predictive insights builder:Integrate AI/ML techniques into dashboards to surface anomalies, forecasts, and smart recommendations.

  • Dashboard innovation:Rapidly prototype and build next-gen BI dashboards with embedded insights, anomaly alerts, and advanced visual storytelling.

  • Insight accelerator:Proactively deliver early-warning signals and trends through anomaly detection and automated alerts.

  • Data detective:Identify, investigate, and resolve data anomalies, ensuring reliability and consistency.

  • Automation advocate:Continuously improve workflows through automation, alerting, and AI-based monitoring.

  • Bridge the gap between data and business by providingtimely, actionable insights and decision-support tools.

  • Work closely with global stakeholders to define metrics, set up proactive alerting, and deliver actionable insights at scale.

What do you need to bring-

  • Bachelor’s degree in a quantitative field: Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related discipline. (Master’s degree a plus)

  • 3+ years leading BI initiatives: Delivering end-to-end data solutions, analyzing large datasets, and transforming them into actionable insights.

  • ETL Expertise: 2+ years managing data extraction, transformation, and loading from multiple sources using advanced SQL andJupyterNotebooks.

  • Data Visualization Master: 2+ years of experience creating dashboards and visualizations with Looker, Tableau, or similar.

  • Python Powerhouse: 2+ years of experience scripting for data manipulation, insights generation, and automation.

  • AI/ML Familiarity: Hands-on exposure to anomaly detection, intelligent alerting, and integrating predictive models into BI dashboards.

  • intech Advantage: Experience in theFintech/Banking/Credit/Paymentindustry is a strong plus.


Our Benefits:

Any general requests for consideration of your skills, please

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