Lead Data Engineer

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

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.

Responsibilities

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.

Qualifications

+7years of experienceas aDataEngineerwith a strong data-centricmindset

+3years of experienceinatechnical leadershiprole

Proventrack recorddelivering and operating production-gradedata pipelinesin an agile environment

Proven experience withPalantir Foundryand / orDatabricksis a strong plus

Experience in(Re)insurance,financial Services, or other complex data-intensiveindustriesis astrongplus

Technical Skills:

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

Solid understandingofdistributingdata processing, CDC,slowly changing dimensions,anddata modeling.

Strong exposure toCI / CD pipelines,Gitflows, and productionbest practices.

Good knowledge ofREST API

Behavioral & Management Skills:

Softwareengineering first mindsetwithsolid experience in data.

Curiosity and interest in learning the insurance/reinsurance business.

Strong analytical thinking,structureproblemsolving, and ownership attitude.

Excellent communication skills, with the ability to engageseniorbusiness and technical stakeholders.

Proven ability to lead, mentor, and inspire teams in a matrix, internationalenvironment.

Required Education

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

About Us

As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.

Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.