engineering manager in advertising intelligence

MediaRadar equips marketing, sales, and analytics leaders with intelligence to stay ahead. Its platform delivers AI-enabled creative, competitive, commercial, and market intelligence across more than 30 media channels and five million brands, providing a source of truth that integrates with enterprise analytics and AI systems.

• Lead and mentor data engineers on the Madrid team, provide technical direction and constructive code reviews, and partner with distributed engineers across North America and India
• Design, build, and optimize reliable ETL/ELT pipelines that process millions of daily data points, remaining hands-on in the code
• Champion AI coding assistants and prompt-based development for prototyping, code generation, refactoring, testing, and documentation, and establish team best practices and review standards
• Build proofs-of-concept to validate new tools and patterns, including ClickHouse, dbt, and open-source orchestration frameworks, and make recommendations based on the results
• Contribute to the migration from Azure Databricks to a flexible, open, AWS-based stack while minimizing disruption to high-volume daily data delivery
• Understand upstream and downstream systems from ingestion to client-facing platforms to ensure end-to-end data delivery
• Establish testing, validation, monitoring, observability, and CI/CD practices to ensure data integrity at scale
• Learn the Advertising and Market Research domain and translate business needs into technical requirements

• 6–8+ Years of hands-on data engineering or ETL experience
• Strong SQL and RDBMS skills, including hands-on SQL Server and Postgres experience with schema design, performance tuning, and complex query optimization
• Hands-on experience with dbt, ClickHouse, and open-source pipeline or orchestration tools such as Airflow or Dagster
• Strong Python proficiency, or experience with a similar language, for building and automating data pipelines
• Hands-on experience with AI coding assistants and prompting techniques, including verifying, testing, and refining generated code and queries, and setting team standards for these tools
• Hands-on experience with a major cloud platform
• Ability to independently prototype, benchmark, and evaluate technologies and make pragmatic adoption decisions
• Comfortable with Git, code reviews, and writing tested, maintainable, well-documented code
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Professional fluency in written and spoken English
• Будет плюсом: formal people-management experience, AWS, experience in Advertising, Media, or Market Research, familiarity with Docker, Kubernetes, or Terraform, experience with Kafka or other streaming and real-time data technologies

• The role is remote-based in Madrid, with periodic in-person collaboration at a local WeWork space
• Final compensation is based on the candidate's location, skill level, experience, and the Company's pay equity