Data Engineer

<div class="content-intro"><p class="cgHgbA nxe3IQ Xp24Nw PanoWQ"><span class="OYPEnA">Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.</span></p> <p class="cgHgbA nxe3IQ Xp24Nw"><span class="OYPEnA">As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. </span><span class="OYPEnA">Over 10,000 customers trust ABBYY, </span><span class="OYPEnA">including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as </span><span class="OYPEnA">DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.</span></p></div><p><strong><span data-contrast="auto">About the role:</span></strong></p> <p>We are looking for a Data Engineer to help build the data foundation that powers our AI initiatives across generative AI and core business workflows. This role will design, integrate, and maintain trusted data pipelines that make enterprise data usable for analytics, automation, and AI-driven experiences.</p> <p><strong>Job Responsibilities:</strong></p> <ul> <li>Design and build scalable data pipelines that collect, transform, and deliver structured and unstructured data from internal and external sources.</li> <li>Partner with business and technology teams to define data requirements for AI use cases and operational workflows.</li> <li>Develop data models, integrations, and data quality controls to support analytics, automation, and model performance.</li> <li>Ensure data is available, reliable, secure, and properly governed across systems and environments.</li> <li>Work closely with AI engineers, product owners, and process teams to prepare data for experimentation and production use.</li> <li>Monitor pipeline health, troubleshoot issues, and continuously improve performance, reliability, and maintainability.</li> <li>Support metadata, lineage, and documentation practices that improve data transparency and trust.</li> </ul> <p><strong>Job Requirements:</strong></p> <ul> <li>Experience in data engineering, analytics engineering,