Senior Data Engineer
1 week geleden
We are seeking a highly experienced Senior Data Engineer to join our R&D department and contribute to our mission of excellence. As a key member of our Data Services Team, you will be responsible for designing, developing, and maintaining complex data models and infrastructure that support our scientific and research initiatives.
Key Responsibilities:
- Work closely with data scientists, researchers, data owners and stewards, and other team members to understand data requirements and deliver solutions that support their projects;
- Design, implement, and optimize robust data models that support complex analytical or machine learning workloads and create and maintain comprehensive documentation for data models, pipelines, and infrastructure;
- Manage and contribute to a comprehensive data architecture and schema designs that meet the needs of various stakeholders in cooperation with other organizational units within and outside Science, Research & Innovation;
- Contributing in aligning the data strategy and governance of Science, Research and Innovation with the standards developed by other teams within the organization;
- Act as a subject matter expert and mentor for junior data engineers and team members; stay current with the latest advancements in data engineering, modeling techniques, and industry trends and establish and enforce data engineering standards, guidelines, and best practices.
About Us:
At DSM, we are committed to innovation and excellence. Our Science, Research & Innovation department is at the forefront of developing cutting-edge digital and data solutions that drive the future of our industry. We are a global enterprise 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.
What We Offer:
- 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.
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field, and 10+ years of experience in data engineering, data modeling, or a similar role, ideally in a pharmaceutical or biotech industry within a scientific or research setting;
- Familiarity with the Data Mesh principles, including domain-oriented data ownership, data as a product, self-serve data infrastructure, and federated computational governance, and data architecture design;
- Strong understanding of cloud platforms (AWS, experience with Azure is a plus), their related data services and integrations with Databricks, Unity Catalog, and DBT for data transformation and modeling, including familiarity with Delta Lake, and affinity for infrastructure as code (Ia C);
- Familiarity with the FAIR data principles, and a proven track record of implementing data governance, data quality, and data security practices;
- Experience in the Agile framework, strong communication and collaboration skills with distributed teams, with the ability to convey complex technical concepts to non-technical stakeholders, and excellent problem-solving skills and ability to work independently and as part of a team;
- Proven experience with data modeling methodologies such as Data Vault and database schemas such as a star schema;
- Experience with machine learning frameworks and tools is a plus.
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