Embrace what’s next.
Create new possibilities.

Job Purpose and Impact

The Associate Data Engineer – Bioindustrial assists with the design, building and maintenance of routine data systems that enable data analysis and reporting for manufacturing plants in our global bio-based specialty chemicals business. As part of a digital product team, under close supervision, this job provides collaboration to support that large sets of data are efficiently processed and made accessible for decision making.

Key Accountabilities

• DATA & ANALYTICAL SOLUTIONS: Assists with the development of basic data products and solutions using big data and cloud based technologies, supporting scalable, sustainable and robust designs.
• DATA PIPELINES: Collaborates with the development of basic streaming and batch data pipelines that facilitate the seamless ingestion of data from various manufacturing data sources, transform the data into information and move to a centralized data store.
• DATA SYSTEMS: Assists with the implementation of existing data systems and architectures in support of improvement and optimization activities.
• DATA INFRASTRUCTURE: Supports the preparation of data infrastructure aligned with the efficient storage and retrieval of data.
• DATA FORMATS: Helps implement appropriate data formats to improve data usability and accessibility across the organization.
• STAKEHOLDER MANAGEMENT: Assembles requirements from multi-functional partners assisting the team to ensure that data solutions meet the functional and non-functional needs of various partners.
• DATA FRAMEWORKS: Conducts basic testing of new concepts and assists with the implementation of data engineering frameworks and architectures to support the improvement of data processing capabilities and analytics initiatives.
• AUTOMATED DEPLOYMENT PIPELINES: Collaborates with the implementation of automated deployment pipelines to support improving efficiency of code deployments with fit for purpose governance.
• DATA MODELING: Performs basic data modeling aligned with the datastore technology to ensure sustainable performance and accessibility.
#LI-EE1

Qualifications

• No minimum years of relevant experience required. Typically reflects 2 years or more of relevant experience.
• SQL - intermediate working knowledge (e.g. can explain how joins work) - most important, the rest can be learned.
• Relational databases (PostgreSQL, Oracle - know how to authenticate to any of this type of DB, and can articulate what makes them distinct).
• Cloud-native warehouses (e.g. Snowflake; has queried and written about this type of DB).
• Medallion data architecture (bronze, silver, gold; can explain what each of these layers means, or else responds with curiosity and learning).
• Workflow orchestrators (Airflow; can explain or learn what this is used for).
• Familiarity or interest in managing and working within manufacturing processes and environment 

Preferred qualifications:
• Experience or interest in developing, integrating, or enabling AI driven solutions in production.
• Fluent Dutch language skills – verbal and written – will be considered an advantage.