Data Engineer (Remote)

Role Overview Hire Feed is hiring a Data Engineer on behalf of a global technology industry leader for a fully remote contractor engagement. This part-time opportunity is ideal for entry-level candidates with strong foundational skills in data engineering, ETL workflows, and Python-based data solutions. You will be instrumental in designing and maintaining data pipelines that power critical business decisions across the organisation. Key Responsibilities - Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple data sources - Develop and optimise logical and physical data models within modern data warehousing environments - Collaborate with cross-functional teams to gather data requirements and deliver reliable, well-structured data solutions - Monitor, troubleshoot, and continuously improve data infrastructure for peak performance and scalability - Ensure data accuracy, consistency, and reliability across all integrated data sources Required Qualifications - Proficiency in MySQL, Python, and core ETL concepts including extract, transform, and load workflows - Solid understanding of data warehousing principles and data modelling best practices - Hands-on experience working with data pipelines and ETL tools - Strong analytical and problem-solving capabilities - Effective communication and collaboration skills for cross-functional team engagement Why Join Us This role offers a flexible remote working arrangement with a globally recognised technology client, giving you the chance to build meaningful data solutions while advancing your early career in data engineering.

- Proficiency in MySQL and Python - Knowledge of ETL concepts and data pipeline tools - Understanding of data warehousing and data modelling - Strong problem-solving and analytical skills - Good written and verbal communication skills

- Fully remote work from anywhere - Flexible part-time engagement - Exposure to global technology industry clients - Competitive hourly payout