Data Engineer

Minimum Requirements

• You are a young graduate and have demonstrated a first successful experience as a Data Engineer with a background in PySpark, AWS, DataOps, and/or DevOps.
• You have strong programming skills in languages such as Python and SQL.
• You have a previous experience with data modeling, ETL development, and data warehousing.
• You show a strong interest for the commodities trading or energy sectors.
• You are an excellent problem-solver and you pay attention to detail.
• You have strong communication skills and the ability to work in a team environment.

Activities

Are you a Data Engineer with a passion for innovation and problem-solving? We are looking for a talented individual with expertise in Databricks, AWS, DataOps and/or DevOps to join our team and help us harness the power of data.

Key Responsibilities:

• Design and implement complex data solutions using Databricks and AWS.
• Develop and maintain scalable and reliable data pipelines.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Implement DataOps and DevOps best practices to improve the efficiency and quality of data delivery.
• Monitor and optimize data systems to ensure optimal performance.

What We Offer:

• A dynamic and challenging work environment with opportunities for growth and development.
• A collaborative team that values innovation and creativity.
• A commitment to diversity and inclusion in the workplace.

If you are a Data Engineer looking for an exciting new challenge and the opportunity to work with cutting-edge technologies, we would love to hear from you. Apply now and take the next step in your career with us!

Role Overview: As a Data Engineer, you will play a crucial role in developing and maintaining our data infrastructure. You will work closely with our team to design, build, and optimize data pipelines, ensuring the highest quality of data availability and accuracy.

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