DataOps Team Lead
About Us
We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.
Our client is leading mobile app company that depends on high-volume, real-time data pipelines to drive user acquisition and engagement. This role is instrumental in maintaining data reliability, supporting production workflows, and enabling operational agility across teams. This is a hands-on leadership role that requires deep technical expertise, ownership mindset, and strong collaboration across engineering and business stakeholders.
Key Requirements:
๐น5+ years of experience in data engineering, with strong hands-on expertise in building and maintaining data pipelines;
๐น At least 2 years in a team leadership or technical lead role;
๐น Proficient in Python, SQL, and data orchestration tools such as Airflow;
๐น Experience with both SQL and NoSQL databases, such as MySQL, Presto, Couchbase, MemSQL, or MongoDB;
๐น Bachelorโs degree in Computer Science, Engineering, or a related field;
๐น English โ Upper-Intermediate or higher.
Will be plus:
๐น Background in NOC or DevOps environments is a plus;
๐น Familiarity with PySpark is an advantage.
What you will do:
๐น Oversee daily data workflows, troubleshoot failures, and escalate critical issues to ensure smooth and reliable operations; ๐น Use Python, SQL, and Airflow to configure workflows, extract client-specific insights, and adjust live processes as needed;
๐น Build and maintain automated data validation and testing frameworks to ensure data reliability at scale;
๐น Own and evolve the metadata system, maintaining table lineage, field definitions, and data usage context to support a unified knowledge platform;
๐น Act as the primary point of contact for operational teams and stakeholders, ensuring consistent collaboration and high data quality across the organization.
Interview stages:
๐น HR Interview;
๐น Pro-Interview;
๐น Technical Interview;
๐น Final Interview;
๐น Reference Check;
๐น Offer.
Why Join Us?
๐น Be part of a friendly international team, working together on interesting global projects;
๐น Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
๐น Join a team that loves fresh ideas and supports creativity and new solutions;
๐น Work closely with clients, building great communication skills and learning directly from their needs;
๐น Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.