data engineer for marketing data

Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals faster.

• Design, implement, and scale end-to-end data products supporting growing data processing and analytical needs;
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams;
• Leverage AI to build self-serve tools and accelerate Data/GTM workflows;
• Establish trust and strong relationships across business and technical teams, ensuring alignment on data strategy and execution;
• Implement systems that guarantee data quality, governance, and availability.

• 3+ Years of hands-on experience in Data Engineering or Software Engineering;
• Degree in computer science, engineering, or equivalent technical field experience;
• Proficient in cloud-based data processing and storage technologies such as Databricks, Spark, and Airflow;
• Fluent in SQL and proficient in at least one modern programming language, such as Python, Scala, or Java;
• Proactive self-starter able to identify opportunities, propose innovative solutions, and execute them effectively;
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders;
• Curious about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

• Base salary and Restricted Stock Units for Asana Inc;
• Contract of Employment (UoP) in Poland;
• 50% Tax-deductible costs for author’s rights usage for Engineers;
• Health insurance with dental and travel coverage through Lux Med;
• Lunch catering on office days;
• Career growth budget;
• Home office setup budget;
• Gym and fitness reimbursement;
• Fertility healthcare and family-forming support with Carrot;
• Mental health support through Modern Health;
• Group life insurance;
• MacBook with necessary accessories;
• Office-centric hybrid schedule with standard in-office days on Monday, Tuesday, and Thursday; most employees can work from home on Wednesdays, while Fridays depend on the type of work.