Data Platform Lead (Expert Databricks)

SCOR; Paris; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

SCOR, un leader global en réassurance, recherche un Data Platform Lead spécialisé dans Databricks. Vous serez responsable de l'évolution de la plateforme de données et de l'optimisation de la gestion des ressources, tout en guidant l'équipe sur les meilleures pratiques. Si vous êtes autonome, rigoureux et passionné par les défis techniques, rejoignez-nous pour contribuer au succès de SCOR.

Prestations

Travail dans un environnement international

Opportunités de formation continue

Politique de diversité et d'inclusion

Qualifications

• 5 ans d'expérience en tant qu'ingénieur ou architecte de données.
• Expérience prouvée dans l'administration de la plateforme.
• Connaissance des sujets de gestion des données et de la confidentialité.

Responsabilités

• Conduire l'évolution et surveiller l'opération de la plateforme.
• Construire et documenter des cadres pour faciliter le travail des collègues.
• Agir comme expert en technologies de plateforme de données.

Connaissances

Python

Pyspark

SQL

Datalakes

Finops

API development

Formation

Bachelor's degree in computer science

Outils

AzureDevOps

Docker

Kubernetes

Description du poste

Data is at the core of SCOR strategic plan Forward 2026 as one of its four enablers. As part of this ambition, the Data Platform team has a key role to play.

Responsible of the technological stack & platform, the data delivery, the overall data architecture and the entreprise data model, the Data Platform team supports the delivery of analytical use cases with expertise (data engineering, data modeling, data artchitecture) and evolves & operates a state-of-the-art platform infrastructure stack, while ensuring the global consistency of data across SCOR information system.

The Data Platform team, international and multi-cultural, mixes various profiles (data engineering, data modeling, data and platform architecture) to make SCOR the reinsurer of tomorrow.

As part of this team, the Data Platform Lead (Expert Databricks Architect) ensures optimal implementation and use of the data platform technologies, especially centered around two key techologies : Databricks, as a Transactional and Integration layer and Palantir, as the Single Version of Truth for Analytics.

We are looking for a highly-skilled Tech leader as our Data Platform Lead, that will drive forward our Platform vision, with an explicit focus on Databricks, as part of the e2e platform blueprint and will own its Operation.

You provide out-of-the box accelerators to projects while monitoring and optimizing use of the platform through a finops angle.

The Data Platform Lead needs to :

• Be problem-solving oriented with strong analytical thinking
• Be autonomous and rigorous in the way he / she approaches technical challenges
• Advise on the architecture and use of Databricks, and provide standard frameworks
• Collaborate with various stakeholders (data & analytics engineers, data architects, solutions owners, IT operation teams) to ensure that the best practices are followed on the platform
• Commit and bring your skills to contribute to the success of the Group

Responsibilities

Key duties and responsibilities

Under the responsibility of the Head of Data Platform, as a Data Platform Lead your mission will be to :

1. Drive the evolution & monitor the Platform's operation :

• Continuously drive the platform following a "platform-as-a-product" approach, by implementing new features to enhance it, in support of use cases and aligning with the target blueprint of SCOR's Data Strategy
• Be responsible for configuring and / or defining standard rights and access patterns to the platform.
• Implement Finops monitoring and alerting mechanisms.
• Optimize use of computational resources.

2. Build, deliver, maintain and document framework to accelerate and standardize the work of your colleagues :

• Enhance generic libraries to facilitate the ingestion, transformation, monitoring, alerting of data pipelines.
• Implement standardized frameworks for unit-testing, code quality checks and other CI frameworks to ensure operational excellence on the platform.

3. Act as SME on data platform technologies

• Be a referent on Databricks technology.
• Provide guidance on implementation pattern, both from an applicative and an infrastructural point of view.
• Perform peer review and intervene when punctual expertise is required.
• Perform technological watch and ensure SCOR benefits from latest features of data platform technologies.
• Animate a community around Databricks.
• Ensure smooth integration with the rest of Data & IT ecosystem.

Qualifications

Required experience & competencies

• 5 years of experience as a data engineer or data architect, data oriented mindset
• Proven experience on Finops implementation and platform administration
• Strong experience in development and maintenance of data pipelines
• Knowledge of (Re)insurance industry and / or Financial Services is a plus
• Awareness on data management and data privacy topics

Technical Skills :

• Strong level in Python and Pyspark, ability to develop data pipelines under various platform with specific specialization in Databricks
• Strong level in analyzing DAGs and optimizing resources / codes
• Strong level in SQL (knowledge of ANSI92 SQL, execution plan analysis)
• Strong knowledge of parallelization, distributed programming techniques
• Strong knowledge of datalakes environments and concepts (delta lakes, medaillon architecture, blob storage vs file shares...)
• Good knowledge of CI / CD pipelines (AzureDevOps, Jenkins, Artifactory, Azure Container Registry...)
• Good knowledge of REST API development (Flask, FastAPI, Django...)
• Good knowledge of containers (Docker Compose, Kubernetes)

Behavioral & Management Skills :

• Strong analytical thinking, solution-oriented and force of proposal
• Capacity to navigate in a matrix and international environment
• Autonomy, rigorous mindset, commitment
• Curiosity, interest to challenge
• Communication and ability to handover frameworks to other teams
• Team player

Required Education

• Bachelor's degree in computer 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.