ppAppodeal is a dynamic US‑based product company with a truly global presence. /p pWe have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. /p pOur company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. /p pAt Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! /p pWe take pride in our cutting‑edge product and our internationally dispersed team of talented professionals. /p pHere’s what we value, and what we hope you do too: /p ul libContinuous Learning and Growth: /b We are passionate about learning, growing personally, and building rewarding careers. /li libMaking an Impact: /b We are committed to building a history‑defining company that leaves a lasting impact on the mobile app industry. /li libSolving Exciting Challenges: /b We tackle complex problems every day, supported by a team of world‑class professionals and mentors. /li libEnjoying the Journey: /b We believe in having fun while working toward our goals. /li /ul pWe are seeking a skilled Data Engineer to join our Mobile Growth Platform UA team in Barcelona. The adecuado 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 h3Key Responsibilities /h3 ul liDesign 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 liManage 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 liDesign, develop, test, and orchestrate data workflows to streamline pipelines. /li liOptimize 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 liContribute to the development of internal tools for automating data processes and business workflows, enhancing efficiency and scalability. /li liCollaborate closely with product, MLOps and data science teams to ensure an optimal data experience for all ML practitioners and data consumers. /li /ul h3Requirements /h3 ul li3-5+ years of professional work experience in data engineering. /li liStrong expertise in Python and common data frameworks (Pandas, PySpark). /li liExperience with modern data storage solutions: Data lakes (Delta tables), and data warehouses. /li liExperience with data orchestration tools (Dagster, Airflow). /li liExperience with streaming technologies (Kafka, Spark structured streaming). /li liExperience with cloud platforms (AWS S3, EC2 etc.). /li liOLAP Databases: Hands‑on experience with ClickHouse and/or Apache Druid for real‑time analytics and low‑latency data serving. /li liStrong problem‑solving skills and ability to excel in a fast‑paced startup environment. /li liBased in Barcelona or ready to relocate to Barcelona. /li /ul h3Nice to have /h3 ul liExperience with Databricks platform. /li liExperience in building ML data platforms. /li /ul pWith an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. /p pJoin us and help shape the future of mobile app success! /p /p #J-18808-Ljbffr

📌 Senior Data Engineer (Barcelona)
🏢 Appodeal
📍 Barcelona