Data Engineer

Asana; Warszawa; Hybrid; PLN 232,000 - 335,000; Full time

Benefits offered by this job

Health insurance

Lunch catering on office days

Career growth budget

Home office setup budget

Gym/Fitness reimbursement

Fertility healthcare

Mental health support

Group life insurance

MacBooks with accessories

Job summary

Asana is seeking a Data Engineer to join our Warsaw-based Data Engineering team. You will build data products for marketing stakeholders and partner with Data Infrastructure to implement scalable data pipelines.

You’ll work in a hybrid, office-centric model with in-office days Monday, Tuesday and Thursday, with Wednesday optional remote. Proactive, collaborative, and innovative mindset encouraged.

Qualifications

• 3+ years of hands-on experience in Data Engineering or Software Engineering.
• Degree in computer science, engineering or equivalent.
• 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 and execute.
• Excellent communication skills for non-technical stakeholders.
• Curious about AI tools and emerging technologies.

Responsibilities

• Design, implement and scale end-to-end data products for marketing data needs.
• Influence best practices in Databricks and cloud-based data engineering across teams.
• Leverage AI to build self-serve tools and accelerate Data/GTM workflows.
• Establish trust across business and technical teams on data strategy and execution.
• Implement systems that guarantee data quality, governance, and availability.

Skills

Data engineering

SQL

Python/Scala/Java

Databricks

Spark

Airflow

Communication skills

AI awareness

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Spark

Airflow

Job description

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).

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.