Data Engineer

The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, you will also partner both with business stakeholders and with the Data Infrastructure team.

This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements.

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

Design, implement and scale end-to-end data products that support 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.

About you

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 like Databricks, Spark, Airflow.

Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).

Proactive self-starter with a proven ability 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.