Data Engineer - Remote

Overview

Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis.

In Short

• Design and architect modern data solutions that align with business objectives and technical requirements
• Design and implement advanced ETL/ELT pipelines using Python, SQL, and Apache Airflow
• Build highly scalable and performant data solutions leveraging cloud platforms and technologies
• Develop complex data models to handle enterprise-level analytical needs
• Make critical technical decisions on tools, frameworks, and approaches for complex data challenges
• Optimise large-scale data processing systems for performance and cost-efficiency
• Implement robust data quality frameworks and monitoring solutions
• Evaluate new technologies to enhance our data engineering capabilities
• Collaborate with stakeholders to translate business requirements into technical specifications
• Present technical solutions to leadership and non-technical stakeholders
• Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice

Requirements

• Experience with Python, SQL, and Apache Airflow
• Proficiency in designing ETL/ELT pipelines
• Strong understanding of cloud technologies
• Ability to develop complex data models
• Experience in optimising data processing systems
• Knowledge of data quality frameworks
• Ability to evaluate and implement new technologies
• Strong collaboration and communication skills
• Experience in presenting technical solutions
• Ability to contribute to community practices

Benefits

• Opportunity to work in a flexible remote environment
• Engagement in a data-driven culture
• Professional development opportunities
• Collaboration with a skilled team
• Access to modern data architectures