OverviewAppodeal is a dynamic US-based product company with a truly global presence.We have offices in Warsaw, Barcelona and Virginia along 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.Senior Data Engineer — BarcelonaYou'll help us build and scale a modern AdTech data platform that powers real-time bidding, analytics, and machine learning across billions of ad requests daily.
Our stack combines Databricks + Delta Lake for large-scale processing, PySpark for flexible transformations, and an on-prem Druid cluster for ultra-fast analytical queries.
If you enjoy owning complex pipelines, optimizing performance, and working with a team that values autonomy and impact, this role is for you.What You'll DoShape and evolve our data platform architecture, ensuring reliability, scalability, and performance across ML and analytics workflows.Design, build, and orchestrate PySpark pipelines running on Databricks + Delta Lake, processing terabytes of data daily.Operate and optimize our on-prem Druid cluster, enabling real-time insights and low-latency analytics.Define and promote best practices for data quality, versioning, and lifecycle management across teams.Develop internal tools and automations that boost team efficiency and streamline data delivery.Collaborate closely with MLOps, Data Science, and Product teams to ensure smooth data access and cross-team consistency.What We're Looking For4+ years of hands-on experience in data engineering.Strong skills in Python 3 and PySpark.Proven experience with AWS S3, Databricks, Delta Lake, and data warehousing concepts.Familiarity with data orchestration tools (Dagster, Airflow) and streaming technologies (Kafka, Spark).
Solid understanding of data modeling, analytics, and ML pipelines.Based in Barcelona or excited to relocate and join us here.Nice to HaveExperience with Druid or other OLAP systems (ClickHouse and etc.).
Background in building or scaling ML data platforms.Passion for real-time data processing and performance optimization.Why You'll Love Working With UsBe part of a core AdTech team processing billions of auction events across integral data centers.Work with a modern data stack — Databricks, Delta Lake, Druid, Kafka, AWS, DagsterEnjoy autonomy and ownership in a fast-paced, startup-style environment.Collaborate with exceptional engineers, data scientists, and MLOps experts who care deeply about scalability and precision.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 us and help shape the future of mobile app success!
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