Senior Data Engineer (AdTech)

Our customer is a product company with a truly global presence, specializing in mobile app monetization. They provide a platform that helps developers grow their businesses through intelligent mediation and cutting-edge data tools. The team is composed of international professionals dedicated to building history-defining solutions for the mobile industry.

We are looking for a Data Engineer who will play a key role in building and operating a high-scale data platform that powers our machine learning, analytics, and core product features.

Our product processes large, complex data streams, so were looking for someone whos confident working with high-volume, high-performance systems.

You will work on end-to-end data pipelines, optimize performance, and shape the data architecture, collaborating closely with ML, MLOps, and product teams in a fast-paced environment.

This role is a hybrid position based in Barcelona office.

What You'll Drive

• Design, build, and maintain batch and streaming ETL/ELT pipelines on Databricks (Spark, Delta Lake, Delta Live Tables);

• Define and manage a scalable data architecture combining Databricks with OLAP engines (ClickHouse and/or Druid);

• Orchestrate and test data workflows for reliability and automation;

• Optimize Spark jobs, schemas, and partitions for performance and stability;

• Monitor and troubleshoot data pipelines and databases;

• Develop internal tools to automate data and business workflows;

• Collaborate with data science, MLOps, and product teams to support ML and analytics use cases.

Who You Are

• AdTech Domain experience or a closely related field;

• 3–5+ years of professional data engineering experience;

• Strong Python skills (Pandas, PySpark);

• Solid experience with data lakes (Delta tables) and data warehouses;

• Hands-on use of orchestration tools (Airflow or Dagster);

• Streaming data experience (Kafka, Spark Structured Streaming);

• Cloud experience on AWS (S3, EC2);

• Practical experience with OLAP databases (ClickHouse and/or Apache Druid);

• Strong problem-solving ability in a startup-style environment.

Nice to have

• Prior hands-on experience with Databricks

• Experience building or supporting ML data platforms

What You'll Get

• Career Growth: Professional development opportunities and a clear path for advancement within a fast-growing environment
• Work-Life Balance: Flexible work arrangements and a culture that respects personal time
• Relocation Support: Assistance with relocating to a vibrant hub in Barcelona
• Impactful Projects: The chance to work on high-stakes ML projects that influence the global mobile ecosystem.

Sounds like a challenge for you? Click "Apply"!