Data Engineer

Job Title: Data Engineer - Agriculture

Location: Utrecht, Netherlands

Salary: 60,000 euros

Job Type: Full time

This client, a leading agriculture company, is seeking a skilled data engineer to join their team and help optimize their data infrastructure.

THE ROLE

As a data engineer, you will be responsible for designing, building, and maintaining the data pipelines and databases that support our client's agricultural operations.

Responsibilities:

• Design, build, and maintain scalable data pipelines and databases that support the collection, storage, and analysis of data from our agricultural operations.
• Collaborate with data scientists, agronomists, and software engineers to ensure that data is properly collected, processed, and integrated into our systems.
• Develop and implement data governance policies and procedures to ensure data quality, consistency, and security.
• Monitor and troubleshoot the performance of data pipelines and databases to ensure their continued operation and optimization.
• Stay up-to-date with emerging technologies and industry trends in data engineering and apply them to our client's agricultural operations.

YOUR SKILLS AND EXPERIENCE

Requirements:

• A degree in Computer Science, Computer Engineering, or a related field.
• A minimum of [X] years' experience working as a data engineer, preferably in the agriculture industry.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with big data processing frameworks such as Apache Spark and Hadoop.
• Knowledge of database management systems such as MySQL, MongoDB, or Cassandra.
• Experience with cloud-based platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across the organization.

If you are a skilled data engineer with a passion for agriculture and a desire to work with cutting-edge technologies, we want to hear from you. Apply now to join our client's team and help optimize their data infrastructure for the future of agriculture.