engineering manager in advertising intelligence

HireHi; España; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

WeWork доступ

Descripción de la vacante

MediaRadar ищет опытного инженера данных для руководства командой в Мадриде и развития надежных ETL/ELT пайплайнов, обрабатывающих миллионы ежедневных точек данных. Вы будете работать с dbt, ClickHouse, Airflow/Dagster, пропагандируя лучшие практики и обучая команду.

Кандидат обладает 6–8+ годами опыта, продвинутыми навыками SQL и Python, опытом облачных платформ и желанием развивать AI‑кодинг ассистентов и современные конвейеры данных.

Formación

• 6–8+ лет практического опыта в данных, ETL/ELT.

Responsabilidades

• Руководство и наставничество команды инженеров данных в Мадриде, техническое направление и code review.
• Разработка, оптимизация ETL/ELT пайплайнов масштаба миллионы точек данных в сутки.
• Продвижение AI‑кодинг ассистентов и методологии промптинга для прототипирования и тестирования.
• Участие в миграции из Azure Databricks к AWS‑ориентированному стеку и обеспечение бесперебойности поставки данных.
• Обеспечение тестирования, мониторинга, CI/CD и качества данных на всем конвейере.

Conocimientos

SQL

Python

dbt

ClickHouse

Airflow

Dagster

AI‑кодинг ассистенты

облачная платформа (AWS)

Git

Educación

Бакалавр/Магистр в CS/Инженерии

Herramientas

dbt

ClickHouse

Airflow

Dagster

Docker/Kubernetes

Terraform

Kafka

AWS

Descripción del empleo

Описание:

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.

Задачи:

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

Требования:

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

Условия:

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