Data Engineer for Scalable Data Solutions

4 days ago


Warszawa, Mazovia, Czech Republic Asana Full time

About Asana

  • We are a rapidly growing technology company that helps teams orchestrate their work, from small projects to strategic initiatives.
  • Millions of teams around the world rely on Asana to achieve their most important goals, faster.

Our Enterprise Data & Intelligence (EDI) team is tasked with building powerful decision-making data products, integrations, process automation tools, and analytical reports.

Job Description:

We are looking for a driven Senior Data Engineer to add to our growing team who will be fundamental to the company's operations by supporting the data science, business and finance teams.

You will accelerate the business by connecting systems and data seamlessly, utilizing your expertise in modern cloud-based architectures, optimizing data reliability and performance.

This role is based in our office with an office-centric hybrid schedule – in-office days are Monday, Tuesday, and Thursday.

Key Responsibilities:
  • Develop new API integrations to streamline and enhance data accessibility across business functions.
  • Collaborate with Data Science and Business teams to develop analytical solutions, unlocking actionable insights through data analysis, investigation, and visualization.
  • Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
  • Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
  • Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.
  • Implement monitoring, alerts, and compliance controls to ensure data accuracy, availability, and security.
  • Be the go-to expert for data solutions and integrations, providing guidance and technical mentorship to team members.
Requirements:
  • Degree in Computer Science or equivalent technical field experience.
  • 6+ years of hands-on experience in Data Engineering or Software Engineering.
  • Fluent in SQL and proficient in at least one programming language (e.g., Python, Java, Scala etc.).
  • Strong expertise in Databricks, AWS S3, Spark, Snowflake, and Airflow.
  • Knowledge of system and software engineering architecture principles, concepts, and best practices.
  • Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
  • Ability to handle high-impact stakeholders with professionalism and composure, even under pressure.
  • Strong analytical and problem-solving skills with a proactive approach to issue resolution.
  • Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
Benefits:
  • Generous, transparent and fair compensation system.
  • Contract of Employment (UoP).
  • Health insurance with dental and travel coverage.
  • 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.


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