Head of Data Engineering

Appodealis a dynamic US-based product company with a truly global presence. We have offices inWarsaw, Barcelona and Virginiaalong with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. At Appodeal, we’re more than just a company—we’re a team united by a common mission: to help every person discover and grow their talents We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Continuous Learning and Growth:We are passionate about learning, growing personally, and building rewarding careers. Making an Impact:We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry. Solving Exciting Challenges:We tackle complex problems every day, supported by a team of world-class professionals and mentors. Enjoying the Journey:We believe in having fun while working toward our goals. As the Head of Data Engineering , you will lead the strategy, architecture, and execution ofAppodeal’s data platform . You’ll manage a team of data engineers and collaborate with data scientists, analysts, and product teams to ensure our data systems are scalable, reliable, and efficient. You will be responsible for building the foundation that powers AI-driven products, business intelligence, and performance optimization across all Appodeal entities. Key ResponsibilitiesDefine and execute the data engineering vision and roadmap aligned with company strategy and CTO’s goals. Lead, mentor, and grow a high-performing global team of data engineers. Foster a culture of excellence, ownership, and innovation within the data organization. Oversee the design, implementation, and maintenance of large-scale data pipelines and storage solutions. Ensure data availability, consistency, and quality across multiple data sources and products. Own infrastructure decisions related to data lake, data warehouse, and streaming systems. Partner with data science, product, and analytics teams to ensure smooth data accessibility and delivery. Collaborate with engineering leads to embed data best practices into product development. Support AI and ML initiatives within the Data Science Hub. Operational ExcellenceEnsure data systems meet high standards of reliability, scalability, and security. Optimize cost, performance, and monitoring of cloud-based infrastructure. Implement data governance, compliance, and privacy standards (GDPR, CCPA). Requirements8+ years of experience indata engineering , with at least 3 years in aleadership or head role . Proven experience designing and scalingdata pipelines for large-scale systems(terabyte/petabyte scale). Expertise with technologies such asSpark, Airflow, Kafka, BigQuery, Snowflake, Redshift, or similar . Proficiency inPython, SQL , and moderndata orchestration frameworks . Experience withcloud environments(GCP, AWS, or Azure). Strong understanding ofdata modeling ,ETL design , andreal-time streaming . Excellent leadership, communication, and stakeholder management skills. Experience inAdTech, MarTech, or high-scale B2B platformsis a strong plus. We are looking for candidates who are already in Barcelona or excited to relocate. Being local is a great advantage, helping you connect closely with teams and hit the ground running. Nice to HaveFamiliarity withML pipelines and data ops practices . Experience integratingAI/ML systems into production environments . Knowledge ofmonetization, user acquisition , orprogrammatic advertising systems . Work in afast-growing international AdTech ecosystem . Collaborate with brilliant minds indata science, AI, and engineering . Competitive compensation with performance-based bonuses. Opportunity to make a direct impact on a data-driven company serving millions globally. With 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. Join usand help shape the future of mobile app success#J-18808-Ljbffr