Senior Data Engineer

Asana is a leading platform for human + AI collaboration with 13+ offices worldwide. The Enterprise Data & Intelligence (EDI) team builds decision-making data products, integrations, process automation tools, and analytical reports to support data science, business, and finance teams.

• Degree in Computer Science, Engineering or equivalent technical field experience.
• 6+ years of hands-on experience in Data Engineering or Software Engineering.
• Fluent in SQL and proficient in at least one programming language (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 professionally and with composure 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.
• Demonstrable experience with data visualisation is an advantage.
• Curiosity about AI tools and emerging technologies with willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

• 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.

This role is based in the Warsaw office with an office-centric hybrid schedule: in-office on Monday, Tuesday, and Thursday; optional work from home on Wednesday; Friday work from home depends on work type and recruiter guidance.