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Data Engineer

Company:
Perion Network
Location:
Kyiv, Ukraine
Posted:
February 04, 2026
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Description:

Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video, CTV, and programmatic DOOH.

Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We’re working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.

About Perion

Perion is a global technology company that delivers advertising solutions across all major channels of digital media. Our comprehensive portfolio of brands and technologies powers impactful advertising for the open web, CTV, search, and digital out of home (DOOH). We foster an environment of innovation, collaboration, and excellence — where creativity meets data-driven decision-making to drive measurable value for our partners and clients worldwide.

We are looking for a Data Engineer, located in Ukraine to join our international team.

Your Responsibilities

Design, build, and deploy production-grade backend data solutions, from initial research and architecture through development, testing, and release.

Collaborate closely with Data Engineers, Data Scientists, Product Managers, Architects, and other R&D teams to deliver high-impact, business-driven solutions.

Own data pipelines and platforms in production, ensuring high availability, scalability, performance, and reliability.

Monitor, troubleshoot, and optimize data workflows and systems in live environments.

Partner with Data Science teams to support advanced analytics, modeling, and experimentation.

Mandatory Skills

3+ years of hands-on experience building and operating Big Data solutions in production environments.

Strong experience with Big Data frameworks such as Apache Spark and/or Apache Flink.

Proven ability to write complex, efficient SQL queries.

Production-level experience developing Spark applications using Scala or Java.

Strong analytical thinking and problem-solving skills, with high attention to detail.

Fluent spoken and written English.

Would Be a Plus

Experience with Apache Airflow and AWS services (EMR, Glue, Athena).

Solid knowledge of Python and Linux environments.

Experience working with ClickHouse.

Familiarity with the Ad Tech ecosystem, including RTB (Real-Time Bidding).

Experience with functional programming, unit testing / TDD, and CI/CD pipelines.

Familiarity with Node.js.

What We Offer

The opportunity to work with massive-scale data systems processing billions of events daily.

A key role in shaping data-driven products used by top global brands and publishers.

Collaboration with highly skilled engineers, data scientists, and product leaders.

A dynamic, innovative, and fast-growing global tech environment.

Professional growth through challenging projects, modern technologies, and continuous learning.

Competitive compensation and benefits package.

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