Lead Data Engineer — AI-Ready Data Pipelines

Scor; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

SCOR seeks a Lead Data Engineer for the Corporate Data domain within the Tech, Data & AI team. You will be a hands-on leader shaping data pipelines, models, and analytics-ready datasets to support corporate reporting, KPI management, and regulatory needs.

You will mentor engineers, own end-to-end data pipelines, and collaborate with HR, Legal, Procurement, and governance teams to enable AI-ready data platforms and self-service analytics.

Qualifications

• +7years of experience as a Data Engineer with a strong data-centric mindset.
• +3years 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.
• Solid understanding of distributing data processing, CDC, slowly changing dimensions, and data modeling.
• Strong exposure to CI / CD pipelines, Git workflows, and production best practices.
• Good knowledge of REST API

Responsibilities

• 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.

Skills

Data engineering

Leadership

Data pipelines

CI/CD

REST API

Communication skills

Mentoring

Education

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

Tools

Databricks

Palantir Foundry

Job description

SCOR seeks a Lead Data Engineer for the Corporate Data domain within the Tech, Data & AI team. You will be a hands-on leader shaping data pipelines, models, and analytics-ready datasets to support corporate reporting, KPI management, and regulatory needs.

You will mentor engineers, own end-to-end data pipelines, and collaborate with HR, Legal, Procurement, and governance teams to enable AI-ready data platforms and self-service analytics.