R&D Data Manager / Data engineer

Job Description

Job title: R&D Data Manager / Data Engineer

We are seeking a highly skilled and experienced Data Manager / Data Engineer to join our Biometrics Trial Management team within Data Science. In this role, you will develop data management frameworks and platforms, ensuring data quality and regulatory compliance, create and manage (meta-)data models for data integration and implement data management tools and pipelines. The ideal candidate has a strong data management background, a solid understanding of data engineering principles and their implementation, an affinity for working in multidisciplinary teams, and a passion for data-driven decision-making. This role will be in an international setting, working within a global company, providing the opportunity to collaborate with diverse teams across various regions.

At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting our People, Customers & Communities and driving business value. Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated.

Your key responsibilities

• Design and Implement Data Management Strategies: Develop and deploy comprehensive data management strategies and data governance frameworks, and ensure compliance with FAIR principles, data protection regulations, data standards and good data management practices
• Data Quality Management: Implement data quality frameworks and establish quality rules to ensure data accuracy and reliability
• Data Modelling and Integration: Create and manage (meta-)data models that support our data governance strategy and our data platform operational needs, and that will integrate with other data sources and feed complex analytical or machine learning workloads
• Tool Implementation: Implement and manage data management tools, pipelines and platforms, e.g. AWS, and others, to support data processing, governance and quality initiatives
• Stakeholder Collaboration: Work closely with cross-functional teams, including scientific, technical, and business stakeholders, to gather requirements and deliver data solutions for their projects

We bring

• A rich history and a promising future of bold scientific innovation and passionate creation with our customers
• A flexible work environment that empowers people to take accountability for their work and own the outcome
• Barrier-free communities within our organization where every employee is equally valued and respected – regardless of their background, beliefs, or identity
• A space to grow by encouraging and supporting curiosity and an open mindset
• Working in a global, diverse and multi-cultural team of colleagues
• An eagerness to be one team and learn from each other to bring progress to life and create a better future

You bring

• Bachelor's or Master's degree in Data Management, Data Science, Computer Science or related disciplines
• Minimum of 3+ years in data management, FAIR principles and data quality or data engineering, including data lineage, cataloging, and metadata management solutions (e.g., Informatica), preferably in a large scientific organization in the industry field
• Proven ability to establish and enforce data quality standards (for example CDISC) and processes. Knowledge of data privacy regulations (e.g., GDPR) and ensuring compliance in data management practices
• Solid technical skills in using various data tools and technologies, with desired programming knowledge (e.g., Python), and proficiency in data modelling, data integration, databases, pipelines, data architecture, and R&D data management systems (e.g., LIMS, electronic notebooks)
• Excellent communication and interpersonal skills, with strong project management and leadership capabilities. Ability to work effectively in a fast-paced, dynamic environment and interact with a wide range of stakeholders
• Knowledge of emerging trends and advancements in data management
• Understanding of Data Mesh principles, cloud platforms, and data services and integrations is a plus

Equal Opportunities Commitment

dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress. We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate: there’s a place for everyone at dsm-firmenich.

As a committed equal opportunity employer, we ensure our recruitment practices are inclusive and fair. We encourage the recruitment of a diverse workforce, representative of the communities in which we work, by using inclusive language, diverse interview panels, diversified sourcing strategies. Selection is based on qualifications, competency, experience, performance history and fit with the team to advance fair and equitable opportunity.

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, ethnicity, national origin, religion, gender, gender identity or expression, sexual orientation, age, disability, backgrounds, genetic information, protected veteran status, or any other status protected by law.

We are committed to providing reasonable support for disabled applicants in our recruiting process. Should you need assistance, and are comfortable to share this, please let us know.

About dsm-firmenich

As innovators in nutrition, health, and beauty, dsm-firmenich reinvents, manufactures, and combines vital nutrients, flavors, and fragrances for the world’s growing population to thrive. With our comprehensive range of solutions, with natural and renewable ingredients and renowned science and technology capabilities, we work to create what is essential for life, desirable for consumers, and more sustainable for the planet. dsm-firmenich is a Swiss-Dutch company, listed on the Euronext Amsterdam, with operations in almost 60 countries and revenues of more than €12 billion. With a diverse, worldwide team of nearly 30,000 employees, we bring progress to life™ every day, everywhere, for billions of people.