Role overview

Data Engineer

FocusData EngineerRole area
SeniorityLead, SeniorCandidate level
StackPython, SqlPrimary skills
Location13 accepted countriesEligibility

Requirements and responsibilities

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About the role

As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.

What you will do

  • Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
  • Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
  • Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
  • Provide technical leadership through data architecture reviews and system design discussions;
  • Contribute to engineering culture and data-driven best practices;
  • Support internal and external stakeholders with a focus on data accessibility and usability;
  • Mentor team members and participate in hiring processes.

Must haves

  • 5+ years of experience in data engineering building scalable systems and pipelines;
  • Expert proficiency in SQL and strong coding skills in Python;
  • Hands-on experience with data warehousing, data lakes, and large-scale data systems;
  • Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems);
  • Solid understanding of distributed system architecture focusing on availability, reliability, and performance;
  • Strong focus on execution and product delivery;
  • Exceptional attention to detail and quality;
  • Strong communication skills;
  • Ability to mentor and support other engineers;
  • Leadership mindset with ability to take initiative and deliver results;
  • Comfort working in a fast-paced, evolving environment;
  • Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS;
  • Upper-intermediate English level.

Tech stack

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Location eligibility

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Hiring flow

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