Head of Data Engineering

Company Overview Appodeal is a dynamic US‑based product company with a truly global presence. Our offices are in Warsaw, Barcelona and Virginia, and we also have remote team members worldwide. Why Appodeal? We thrive on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. We take pride in our cutting‑edge product and our internationally dispersed team of talented professionals. 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. Position: Head of Data Engineering As Head of Data Engineering, you will lead the strategy, architecture, & execution of Appodeal'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. Key Responsibilities Define and execute the data engineering vision and roadmap aligned with company strategy and the 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. Ensure 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). Requirements 8+ years of experience in data engineering, with at least 3 years in a leadership or head role. Proven experience designing and scaling data pipelines for large‑scale systems (terabyte/petabyte scale). Expertise with technologies such as Spark, Airflow, Kafka, BigQuery, Snowflake, Redshift, or similar. Proficiency in Python, SQL, and modern data orchestration frameworks. Experience with cloud environments (GCP, AWS, or Azure). Strong understanding of data modeling, ETL design, and real‑time streaming. Excellent leadership, communication, and stakeholder management skills. Experience in AdTech, MarTech, or high‑scale B2B platforms is a strong plus. Nice to Have Familiarity with ML pipelines and data‑ops practices. Experience integrating AI/ML systems into production environments. Knowledge of monetization, user acquisition, or programmatic advertising systems. Benefits Work in a fast‑growing international AdTech ecosystem. Collaborate with brilliant minds in data science, AI, and engineering. Competitive compensation with performance‑based bonuses. Opportunity to make a direct impact on a data‑driven company serving millions globally. Additional Details Seniority level: Director Employment type: Full‑time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting Location: Barcelona (local or willing to relocate) Join us and help shape the future of mobile app success #J-18808-Ljbffr