Senior Data Engineer

Asana is the work management platform for human + AI collaboration. It helps organizations bring people, processes, and AI together to plan, track, and deliver work with clarity and speed. Powered by the Work Graph®, Asana provides teams with context and control to stay aligned, keep work moving, and scale impact. More than 170,000 organizations, including Accenture, Amazon, Anthropic, Morningstar, and Suzuki, use Asana for their critical work.

• Degree in Computer Science, Engineering or equivalent technical field experience
• 4+ years of hands-on experience in Data Engineering or Software Engineering
• Fluent in SQL and proficient in at least one programming language (e.g., Python, Java, Scala)
• Strong expertise in Databricks, AWS S3, Spark, and Airflow
• Knowledge of system and software engineering architecture principles, concepts, and best practices
• Proactive self-starter with ability to identify opportunities, propose innovative solutions, and execute them effectively
• Ability to handle high-impact stakeholders with professionalism and composure, even under pressure
• Strong analytical and problem-solving skills with a proactive approach to issue resolution
• Excellent communication skills to articulate complex technical concepts to non-technical stakeholders

Nice to have:

• Demonstrable experience with data visualisation

• Build and deliver scalable data pipelines using modern cloud-based architectures, optimizing data reliability and performance.
• Develop new API integrations to streamline and enhance data accessibility across business functions.
• Collaborate with Data Science and Business teams to develop analytical solutions, unlocking actionable insights through data analysis, investigation, and visualization.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.
• Implement monitoring, alerts, and compliance controls to ensure data accuracy, availability, and security.
• Be the go-to expert for data solutions and integrations, providing guidance and technical mentorship to team members.
• Create accurate and clear technical documentation to standardize processes and enhance knowledge-sharing.