Data Engineer

Summary

Join Makersite, an award-winning data software company, as a Data Engineer within our Services Team. You will play a crucial role in integrating and managing the world's largest supply chain database, building data pipelines, developing data models, and collaborating with cross-functional teams. This position requires a Bachelor's degree in a related field, proven experience as a Data Engineer, proficiency in Python and SQL, and strong data modeling skills. Makersite offers a remote-work option (EU), 30 days of paid time off, state-of-the-art equipment, and a competitive salary. We are committed to a values-driven culture focused on diversity, purpose, and collaboration. We offer a steep learning curve and the opportunity to work with an international team on impactful projects.

Requirements

• Bachelor´s Degree in Computer Science, Engineering, or related field; advanced degree preferred
• Proven experience as a Data Engineer or similar role, preferably in a complex and interconnected database environment
• Proficiency in Python and SQL for data manipulation and analysis
• Strong understanding of data modeling concepts and techniques
• Experience with building and optimizing data pipelines for ETL
• Ability to translate business requirements into technical solutions
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills to work effectively across cross-functional teams

Responsibilities

• Integrate new and existing data into our hyper-connected databases
• Manage and optimize the world's largest supply chain database
• Continuously seek and evaluate new sources of data that can be leveraged to enhance our database and provide customers with optimal feature development
• Build robust and scalable data pipelines from both internal and external sources
• Develop and maintain complex data models to support various business needs
• Collaborate with cross-functional teams to understand domain-specific challenges and translate these into technical requirements
• Implement data quality and validation processes to ensure the accuracy and reliability of data
• Stay updated with the latest advancements in data engineering technologies and methodologies
• Ensure adherence to confidentiality and data security standards

Preferred Qualifications

Advanced degree

Benefits

• Remote Working - Work 100% remotely if you like
• Time-Off - 30 days of paid time off per year
• Technology – State-of-the-art equipment
• Competitive salary