Senior Data Platform Engineer (m/f/x)

Daiichi Sankyo; Reims; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading pharmaceutical company in France is seeking a Platform Engineer to build and maintain its data platform infrastructure. This role involves enhancing developer experience, platform reliability, and automation. Candidates should have strong expertise in SQL, Python, and Azure. Join a team focused on improving patient care through innovative data solutions.

Prestations

Culture of mutual respect

Commitment to inclusion and diversity

Continuous learning opportunities

Qualifications

• Several years in IT with experience in data engineering, DevOps, or platform engineering roles.
• Strong expertise in SQL, Python, Linux, Docker, Git, and cloud providers (Azure preferred).
• Understanding of data engineering practices like Infrastructure as Code and CI/CD.

Responsabilités

• Design and maintain data platform infrastructure using Azure, Snowflake, and dbt Cloud.
• Build self-service capabilities and internal tooling for data engineers.
• Implement centralized monitoring and logging across the platform stack.

Connaissances

SQL

Python

Linux

Docker

Git

Azure

Formation

Bachelor’s degree in Information Technology, Business Administration, Data Science, or related field

Outils

Terraform

Airflow

Snowflake

dbt Cloud

Description du poste

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Date: 30 Jul 2025

Location: All Europe, Europe, 81379

Passion for Innovation. Compassion for Patients.

With over 120 years of experience and approximately 19,000 employees in more than 30 countries/regions, Daiichi Sankyo is dedicated to discovering, developing, and delivering new standards of care that enrich the quality of life around the world.

In Europe, we focus on two areas: The goal of our Specialty Business is to protect people from cardiovascular disease, the leading cause of death in Europe, and help patients who suffer from it to enjoy every precious moment of life.

In Oncology, we are driving innovation in solid tumours and blood cancers, founded on breakthrough science from our own labs in Japan. We aspire to create better tomorrows for people living with cancer and their loved ones.

Our European headquarters are in Munich, Germany, and we have affiliates in 15 European countries and Canada.

For our headquarter in Munich we are looking for a

The Position

The role involves building and maintaining our data platform infrastructure to support efficient delivery of high-quality data solutions. Focus is on enhancing developer experience, platform reliability, automation, and self-service, rather than direct pipeline development. Combining DevOps with data engineering, you will create scalable, maintainable infrastructure and tooling, while enjoying participation in digitization projects.

Roles and Responsibilities

• Platform Operations & Automation: Design and maintain data platform infrastructure using Azure, Snowflake, dbt Cloud, and Airflow. Implement Infrastructure as Code with Terraform, manage multi-environment workflows (DEV/UAT/PRD), and develop custom tools for platform management and resource provisioning
• Developer Experience: Build self-service capabilities and internal tooling (common libraries, shared code, reusable components) to enable 30+ data engineers. Create code generation tools, streamline CI/CD pipelines for 100+ repositories, and establish development environment configuration guidelines, code quality gates, and coding standards
• Monitoring & Reliability: Implement centralized monitoring, logging, and alerting across the platform stack.
• Documentation & Knowledge: Create tutorials and runbooks, promote platform standards, help onboard new data engineers, and actively share knowledge across our internal data engineering community. Help growing our team by providing mentoring and promoting standards and best practices.
• Be in constant communication with team members and other relevant parties and convey results efficiently and clearly

Personal Skills and Professional Experience

• Several years in IT with good experience in data engineering, DevOps, or platform engineering roles
• Strong expertise in SQL, Python, Linux, Docker, Git, and cloud providers (Azure preferred)
• Understanding of Data Warehousing, Data Pipelines, ETL/ELT, and engineering practices like Infrastructure as Code and CI/CD
• Excellent communicator and collaborator with internal and external teams, unbiased toward technologies
• Ability to comprehend new technologies quickly, with intellectual curiosity and integrity
• Strategic thinker with a clear vision for data practices and engineering; proactive and results-driven
• Bachelor’s degree in Information Technology, Business Administration, Data Science, or related field

Why work with us?

Working at Daiichi Sankyo is more than just a job – it is your chance to make a difference and change patients’ lives for the better. We can only achieve this ambitious goal together. That is why we foster a culture of mutual respect and continuous learning, with a strong commitment to inclusion and diversity. Here, you will have the opportunity to grow, think boldly, and contribute your ideas. If you have a proactive mindset and passion for addressing the needs of patients, we eagerly await your application.