About Cavendish

Cavendish is a global, dedicated hydrogen company, delivering optimal solutions to store, and distribute hydrogen. Our vision is to empower generations with clean energy forever and our mission is to unlock the potential of renewables and enable global decarbonization. We have since 2003 served a wide range of different customers with hydrogen technologies by producing cutting edge hydrogen fueling stations.

About the job

As our new Data Engineer, you will be part of the Data Management & Analytics Team, collaborating on designing and building data pipelines for handling incoming data from sites located all over the world. Organizing the data infrastructure, implementing tests, ensuring that data quality is at its absolute best. Monitoring and maintaining existing data infrastructure and pipelines through automation.

Key Responsibilities

In this newly created role, you’ll play a key part in shaping Cavendish’ data engineering approach. You'll have the opportunity to make important decisions around technology, architecture, and best practices.

Taking our data handling to the next level the role requires your ability to:

• Building and Maintaining Robust Data Architectures:
  • Design, implement, and maintain data systems that collect, store, and process data efficiently.
  • Ensure scalability, reliability, and security of data infrastructure.

• Designing Efficient Data Pipelines:
  • Create data pipelines for seamless data flow from source to destination.
  • Optimize pipeline performance and minimize latency.

• Ensuring Data Quality and Integrity:
  • Validate data quality, consistency, and accuracy.
  • Implement data validation rules and error handling mechanisms.

• Collaborating with Data Science and Analytics Teams:
  • Work closely with data scientists, analysts, and business stakeholders.
  • Understand requirements and deliver solutions that drive value.

• Scaling Data Solutions:
  • Adapt data systems to handle increasing volumes of data.
  • Optimize resource utilization and performance.

• Overseeing Data Security and Compliance:
  • Implement security measures to protect sensitive data.
  • Ensure compliance with privacy regulations and industry standards.

Skills and qualifications

To excel in this role, we expect that you possess:

• A BS/MS degree in Computer Science, Engineering or a related subject
• Two to five years of experience in a related field.
• Excellent knowledge in both Python and SQL.
• Solid knowledge in data lake architectures and data warehousing principles.
• Solid Experience with RDBMS, NoSQL, and Distributed systems
• Experience with Orchestrators
• Accustomed to working with Time-Series data
• Accustomed to handling DataFrame technologies (i.e. Spark, polars, or dask).

Expected personal skills:

• You are independent, flexible and have a personal "drive".

• You are, as a person efficient, and knows the importance of quality and punctuality.
• Very systematic and structured
• Good at keeping an overview within multiple systems
• Collaborative across the organisation
• Able to manage changing priorities well
• Communicates fluently in Danish and English, verbally as well as in writing

We offer:

The opportunity to work in a global company contributing to the green transition.

A pivotal role with many interfaces in a fast-paced environment.

The opportunity to work in a company with strong growth and a leading market position in a dynamic and highly professional working environment.

A cross-function role in an international environment working with competent and committed colleagues.

If you wish to learn more about the position, please contact Service Com. & Supply chain Manager Kristian Madsen on Phone: +45 27592919.

As we are conducting interviews on an ongoing basis, we encourage you to apply for the position as soon as possible. The position will be closed as soon as we have the right match.

Equal opportunity employer

Cavendish is an equal opportunity employer, and all qualified applicants will receive consideration for employment regardless of race, colour, religion, sex, national origin, disability status, or any other characteristic protected by law. All employments are decided based on qualifications, merit, and business need.