About the role

  • Build and maintain data integrations and pipelines (ETL/ELT, APIs, webhooks, event streams, etc.).
  • Design and implement reusable analytical models (using dbt, PySpark, and other modern tools).
  • Work with teams across the company to identify data opportunities to drive impact, understand their needs, and help them get the most out of our Data Platform.
  • Monitor and improve production data solutions, resolving issues proactively and during on-call rotations.
  • Contribute to frameworks that make data processing more efficient and speed up insights.
  • Contribute to engineering best practices through code reviews, design discussions, and knowledge sharing.

Requirements

  • 3+ years of engineering experience, ideally with Python.
  • Proven experience building and maintaining production-grade data pipelines.
  • Experience with distributed data systems (like Spark or Flink) and cloud platforms (ideally AWS).
  • Strong SQL and data modelling skills.
  • Hands-on experience with the modern data stack (dbt, orchestration tools, etc.) and awareness of industry trends.
  • Experience in at least one business domain, such as Customer, Marketing, or Finance.
  • A clear communicator who enjoys working with others in an agile setup.
  • A degree in Computer Science, Math, Statistics, or equivalent practical experience.

Benefits

  • People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome
  • Unlock potential – Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change
  • We’ve got you – Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave—because we take care of ourselves and our people
  • Grow with us – Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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