Data Engineer

You will be responsible for:

• Accelerate the Data & Digital strategy for R&D

• Inventory existing data (sources, quality, usage, limitations)
• Implementing data quality and validation checks to guarantee accuracy and reliability
• Map, structure, and govern R&D data
• Design and evolve the data architecture
• Collaborating closely with stakeholders to understand data needs and deliver high-impact solution

• Working closely with the IT/OT team and business teams

• Understand industrial, scientific, and business data
• Translate scientists' data requirements into datasets for model and algorithm development
• define data architecture and providing technical support and guidance to team members on data-related matters

• Define the roadmap for data

• Specifically regarding data ingestion, cleaning, staging, harmonization, and utilization of data to support new insights in R&D
• Contribute to high-value use cases: AI, data science, simulation, Power BI

• Participate in innovative Proof of Concept (POC) and Proof of Value (POV) projects

• Design, prepare, qualify and model the data, carrying out necessary cleansing
• Manage the data lifecycle and define industrialization strategies

• Ensure data quality, security, and compliance

• Implement quality controls and rules
• Ensure secure and compliant data management at all stages to minimize risks.

• Minimum of 5 years' experience required in data engineering
• Fluent English
• Starting from July 2026, * Master's degree in computer science, engineering, or information systems management
• Minimum 5 years' experience in data engineering
• Good understanding of Research & Development (R&D) functions, their processes, and the data generated throughout the information lifecycle
• Strong knowledge of data architecture, ETL (Extract, Transform, Load) processes, and data modelling
• Familiar with best practices in data governance, compliance, and security
• Ability to work in a project-based environment with clear deliverables, proactively seek out information, understand user needs, and communicate effectively with a wide range of stakeholders
• Fluent in English with professional experience in an industrial & international environment and able to communicate deliverables and results effectively to a range of stakeholders