Lead Data Engineer

Employer: SCOR
Domain:
  • Insurances - Financial Intermediaries
  • Accounting - Finance
  • IT Software
    • Job type:: full-time
    Job level: 1 - 5 ani experienta
    Location:
  • BUCURESTI
    • Updated at: 13-08-2026
    Remote work: On-site
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    Job Summary

    • We are seeking a Lead Data Engineer for the Corporate Data domain to join our Tech, Data & AI team. The successful candidate is a hands-on technical leader with deep data engineering expertise, strong communication skills, and a solid understanding of corporate data domains and processes in a complex environment such as reinsurance.

    • You will be responsible for leading data engineering activities for Corporate Data, ensuring the robustness, scalability, and quality of data pipelines and analytical datasets supporting corporate functions and enterprise-wide reporting. Beyond delivery, you will help shape how data engineering evolves at SCOR, including its role in enabling AI driven use cases and self-service analytics.

    • This position is not a generic software engineering role: it requires strong ownership of data flows, data models, and analytics ready datasets that directly support corporate reporting, group-level KPIs, management decision making, and regulatory requirements.

    Key duties and responsibilities

    Under the responsibility of the Head of Data Engineering, your mission will be to:

  • Lead data engineering activities within the Data Foundation of the Group Function Data domain, supervising, coordinating, and planning your team's work in line with business priorities across Group Functions.

  • Own end to end Group Functions Data pipelines, from ingestion to consumption, ensuring reliability, scalability, and cost-efficient performance.

  • Provide hands on technical leadership by reviewing data pipelines and data services, enforcing state of the art engineering practices.

  • Design and optimize large scale data processing solutions supporting corporate use cases, addressing challenges such as data integration, harmonization, and cross-domain consistency.

  • Maintain architectural ownership of corporate data pipelines and datasets, enforcing clear documentation including code, lineage, data definitions, and release notes.

  • Ensure data quality, consistency, and governance across Group Functions Data datasets, contributing to SCOR's Single Version of Truth and federated governance model. 

  • Coach and mentor data engineers, supporting skill development, autonomy, and a culture of engineering excellence.

  • Collaborate closely with business stakeholders across HR, Legal, Procurement, and other group functions, as well as Data Foundation, Governance, and Platform teams.

  • Contribute to the definition and evolution of enterprise data standards, models, and engineering best practices.

  • Actively contribute to the evolution of data engineering practices, particularly in the context of AI ready data platforms and self-service analytics.

    • Required experience & competencies 

    • +7 years of experience as a Data Engineer with a strong data-centric mindset 

    • +3 years of experience in a technical leadership role  

    • Proven track record delivering and operating production-grade data pipelines in an agile environment  

    • Proven experience with Palantir Foundry and / or Databricks is a strong plus 

    • Experience in (Re)insurance, financial Services, or other complex data-intensive industries is a strong plus 

    Technical Skills: 

    • Strong hands-on expertise in Python, PySpark and SQL. 

    • Proven experience with Databricks and/or Palantir Foundry (strongly preferred).  

    • Solid understanding of distributing data processing, CDC, slowly changing dimensions, and data modeling. 

    • Strong exposure to CI / CD pipelines, Gitflows, and production best practices.  

    • Good knowledge of REST API  

    Behavioral & Management Skills: 

    • Software engineering first mindset with solid experience in data. 

    • Curiosity and interest in learning the insurance/reinsurance business. 

    • Strong analytical thinking, structure problem solving, and ownership attitude.  

    • Excellent communication skills, with the ability to engage senior business and technical stakeholders. 

    • Proven ability to lead, mentor, and inspire teams in a matrix, international environment.

    Required Education 

    • Computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience

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