Senior Data Engineer

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Tipo de trabajo
Full time (Permanent)
Publicado

¡Únete a nosotros y modela el futuro del sector de los seguros!

SCOR Digital Solutions (ReMark) es el eje tecnológico de SCOR para las soluciones automatizadas de suscripción, siniestros y bienestar. Combinando la amplia experiencia en análisis y datos de SCOR con las galardonadas competencias de nuestros equipos técnicos y de nuestros productos, nuestras soluciones ayudan a las aseguradoras a transformar la experiencia de sus consumidores en todo el mundo. También realizamos estudios anuales con más de 12.500 consumidores de seguros en 22 mercados clave de todo el mundo, garantizando que nuestras soluciones estén siempre inspiradas en la voz de los consumidores de hoy.

SCOR Digital Solutions es un empresa que ofrece igualdad de oportunidades. Nuestro equipo es increíblemente diverso, con más de 175 empleados de 33 nacionalidades repartidos en 15 oficinas en todo el mundo.

The role

As Senior Data Engineer you will play an essential role in growing ReMark’s business portfolio. You will support SCOR Velogica US modernization efforts by being the dedicated data expert and work to structure and organize data appropriately for analytics, R&D, business intelligence, and continuous product improvement.

Reporting to the Head of Product and Business Analytics you will be responsible for the following:

Key responsibilities

  • Work with the application development team to install the data analytics infrastructure to support Velogica US, including data warehouses, data lakes, and data pipelines, to support the organization's data needs.
  • Manage and use data tools and technologies (such as Databricks) to support the company's data strategy and objectives.
  • Drive efforts to integrate data from various sources, including Velogica US and its supporting AI/ML models, to create a unified and holistic view of the Velogica US data assets.
  • Support Velogica US modernization efforts by being the dedicated data expert and working to structure and organize data appropriately for analytics, R&D, business intelligence, and continuous product improvement.
  • Query Velogica US data to answer ad-hoc questions about system and model performance.
  • Collaborate with cross-functional teams including Application Development, Business Intelligence, and Knowledge and Data (AI/ML model development) to promote data-driven decision-making and improve the product.
  • Connect management information from Velogica US to support a global product point of view.
  • Closely adhere to all local and global security and compliance protocols.

Technical/Essential competencies

  • Excellent understanding of content formats, communication channels, and audience engagement in ReMark's key global markets.
  • Excellent organisational skills with the ability to manage multiple projects in a complex, fast-paced, and deadline-driven environment.
  • Proven ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
  • Understanding of data privacy and security regulations and best practices.
  • Expert in programming languages such as Python and working with data manipulation and analysis libraries/frameworks (e.g., Pandas, NumPy, sci-kit-learn).
  • Experienced in SQL and related cloud-based data platforms (e.g., Databricks).
  • Experienced with data modeling, ETL processes, and data warehousing.
  • Experienced using cloud services (AWS is a plus, GCP, Azure).

Personal competencies/Nice to have

  • Enthusiastic.
  • A healthy knowledge of news & current affairs especially in the topic of technology, data governance, health & wellness, financial sector, insurance, and consumer behaviour.
  • Familiarity with BI tools (Tableau, Power BI, etc.) and their data requirements.
  • Familiar with data science including knowledge of supervised and unsupervised machine learning techniques.

Required education/Work experience

  • Bachelor’s or master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Engineering)
  • Minimum of 3 years of experience in data engineering or a related discipline.
  • 1+ year industry experience in the (re)insurance.

What we offer

    • Competitive Salary.
    • Insurance benefits and 401K Retirement Saving Plan.
    • Training & professional development opportunities.
    • Sustainable & single-use plastic-free office environment.
    • Working in a global, entrepreneurial ‘start-up’ environment within the established SCOR Group.

El idioma de trabajo de la empresa es el inglés. Todos los empleados deben hablar, leer y escribir en inglés con un nivel suficiente para poder comunicarse y desenvolverse con efectividad en la organización.

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Protegemos sus datos personales de acuerdo con GDPR. Tiene derecho a ver, cambiar, eliminar o impugnar cualquiera de sus datos personales procesados por nosotros. Verifique sus derechos en ReMark privacy policy para más información.