Data Engineer

Asana is hiring a Data Engineer in Warsaw, Poland. Level rates it ; you can apply on Asana.

Level's read on this job

On Level's scale, this data engineer role is Uses AI ●●○○: an ordinary role that requires AI tools.
Tools and skills the posting cites include Databricks, Spark and Airflow.
Level classifies it as a mid-level role.
Level lists 108 other open roles at Asana.

AI in this role

Design and scale data products and pipelines while leveraging AI tools to accelerate workflows and build self-serve tools.

databrickssparkairflowpythonsql

data-engineeringdata-governancecloud-computingai-tools

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.
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we'll offer

Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.)
Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers)
Health insurance with dental and travel coverage (Lux Med)
Lunch catering on the days that you work from the office
Career growth budget
Home office setup budget
Gym/Fitness reimbursement
Fertility healthcare and family-forming support with Carrot
Mental health support in Modern Health
Group life insurance
MacBooks with all necessary accessories

For this role, the estimated base salary range is between 20,833 - 30,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs).

#LI-Hybrid

About us

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. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.

We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

How we rate this

Data Engineer at Asana rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer is an open job at Asana.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Warsaw.
The job was posted on August 17, 2026.
Seniority: mid.
Applications are handled by Asana. Apply on Asana

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringData GovernanceCloud ComputingAI ToolsDatabricksSparkAirflowPython

Also common in data engineer jobs at this level

AWS Azure Generative AI Machine learning Google Cloud Kafka

Pay

Typical data engineer job: $150k

Use the typical data engineer figure as a reference when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
Tell me about a project where ai tools was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Data Governance, Cloud Computing, AI Tools, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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