Analytics Engineer • Mid-Level

Who you are

You have foundational data skills and are eager to grow your experience in cloud infrastructure and modern data engineering practices. You understand the importance of building reliable and scalable data foundations that empower teams across the organization. You are comfortable working with data models and transformation pipelines, and you have experience with SQL and dbt. You thrive in collaborative environments and are excited about contributing to a data ecosystem that drives impactful decisions.

Desirable

Experience with MLOps and cloud data infrastructure is a plus. Familiarity with data analytics tools and practices will help you excel in this role. You are a proactive learner, always seeking to enhance your skills and knowledge in the data domain.

What you'll do

In this role, you will be at the heart of Airtasker's data ecosystem, helping to build, maintain, and scale the infrastructure that empowers the entire organization. You will design, develop, and maintain clean, performant, and reliable data models and transformation pipelines using dbt and SQL. Your contributions will be instrumental in shaping a robust data foundation that enables data analysts, data scientists, and machine learning engineers to work efficiently and effectively. You will collaborate closely with cross-functional teams to ensure that data is accessible and actionable, driving insights that impact the business.

What we offer

Airtasker provides a dynamic work environment where you can grow your skills and make a real impact. We offer a hybrid work model that allows for flexibility while fostering collaboration. You will be part of a supportive team that values your contributions and encourages professional development. Join us in our mission to empower people to realize the full value of their skills and make a difference in our community.