The job, in the employer's words
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.
Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.
Requirements mentioned
- 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.
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.