About the role
<div class="content-intro"><p><strong>Appodeal</strong> is a dynamic US-based product company with a truly global presence.</p> <p>We have offices in <strong>Warsaw, Barcelona and Parkland (FL), </strong>along with remote team members located around the world.</p> <p>Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.</p> <p><strong>Why Appodeal?</strong></p> <p>At Appodeal, we’re more than just a company—we’re a team united by a common mission: <strong>Help people discover and grow their talents through products that enable successful mobile app businesses!</strong></p> <p>We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.</p> <p>Here’s what we value, and what we hope you do too:</p> <ul> <li><strong>Continuous Learning and Growth:</strong> We are passionate about learning, growing personally, and building rewarding careers.</li> <li><strong>Making an Impact:</strong> We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.</li> <li><strong>Solving Exciting Challenges:</strong> We tackle complex problems every day, supported by a team of world-class professionals and mentors.</li> <li><strong>Enjoying the Journey:</strong> We believe in having fun while working toward our goals.</li> </ul></div><p>We are seeking a skilled Data Engineer to join our <strong>Mobile Growth Platform UA team</strong> in Barcelona. The ideal candidate will be responsible for building, maintaining, and optimizing our data infrastructure, ensuring seamless data flow and accessibility for ML and DA, analytical and business needs.</p> <p><strong><br>Key Responsibilities:</strong></p> <ul> <li>Design and build scalable data pipelines: Architect, construct, and maintain robust ETL/ELT pipelines using the Databricks platform (Apache Spark, Delta Lake, Delta Live Tables) for batch and streaming data ingestion from various sources.</li> <li>Manage data architecture: Define and maintain a scalable and secure data platform architecture that integrates Databricks (for data lakehouse management and complex transformations) with specialized OLAP engines (ClickHouse/Druid for fast querying).</li> <li>Design, develop, test, and orchestrate data workflows to streamline pipelines.</li> <li>Optimize performance and reliability: Monitor, troubleshoot, and fine-tune data workflows and database performance (e.g., Spark job optimization, ClickHouse schema tuning, Druid data partitioning) to ensure maximum efficiency and reliability.</li> <li>C