Shape the future of data by designing, developing, and maintaining robust data solutions. This role focuses on optimizing data generation, collection, and processing, ensuring seamless data flow across systems. You will be instrumental in building efficient data pipelines and implementing sophisticated ETL processes, all while upholding the highest standards of data quality. Your expertise will enable accessible and usable data for diverse applications and stakeholders.

- Lead the design and implementation of scalable data pipelines and ETL processes. - Ensure data integrity and quality through rigorous testing and validation. - Collaborate with cross-functional teams to gather data requirements and deliver impactful solutions. - Monitor and fine-tune data workflows for optimal performance and reliability. - Document data processes comprehensively and maintain clear communication channels. - Mentor junior team members, sharing knowledge and providing technical guidance.

- Minimum 3 years of hands-on experience in Data Engineering. - Proven ability to design and implement data pipelines and ETL processes. - Strong knowledge of data storage solutions and database management. - Familiarity with data quality assurance and validation techniques. - Expertise in working with large datasets and optimizing data processing workflows. - Understanding of cloud-based data platforms and integration strategies is beneficial. - A solid educational foundation, equivalent to 15 years of full-time study, is required.