Experienced Data Engineer - Retail Media - Mediamarktsaturn

OverviewAs a Data Engineer at MediaMarktSaturn Technology in Barcelona, you will design and run ingestion pipelines across leading adtech APIs and data sources.You’ll harmonize metrics, ensure data quality, and support insightful analytics and dashboards for cross-functional teams.The role emphasizes scalable data pipelines, modern cloud/data warehouse practices, and secure, compliant data handling.You’ll work with a cross-functional group to enable product data analytics and decision making at scale, in a collaborative, innovation-driven environment.Compensaciones / Beneficiosflexible working time and home office optiontraining budgetlanguage classes (English, Spanish, German)birthday off10% discount on MediaMarkt websiteFlexible Pay programResponsabilidadesDesign and operate ingestion pipelines for third-party marketing APIs (Google Ads, DV360, CM360, Meta, Amazon Ads, etc.) and support REST, GraphQL, and batch/file exportsNormalize metrics across platforms, handle attribution differences, currencies, time zones, and taxonomy harmonization; implement reconciliation checksDevelop analytics dashboards and reports to inform business decisionsImplement SQL-based transformation/orchestration with tools like Dataform or dbtProvision and manage infrastructure using Terraform (IaC)Configure and maintain CI/CD pipelines and version control (GitHub Actions)Leverage cloud/DevOps best practices with emphasis on Google Cloud, monitoring, and alertingExplore real-time data pipelines and messaging (Pub/Sub, Kafka) as neededEnsure privacy/compliance with GDPR/TCF considerations and data minimizationRequisitos principales3+ years in Data Engineering with exposure to adtech/martech dataStrong SQL and data warehousing experience (BigQuery or Redshift) with cost-efficient designProficiency in Python (Pandas, Flask, FastAPI); Java is a plusExperience with cloud/DevOps, monitoring, and data orchestrationAbility to communicate with stakeholders across marketing, analytics, and engineeringself-motivated and autonomouseffective stakeholder communicationcross-functional collaborationREST and GraphQL APIsDataflow, Pub/Sub, Kafka (real-time streams)Dataform or dbt for transformation

Requisitos principales3+ years in Data Engineering with exposure to adtech/martech data Strong SQL and data warehousing experience (BigQuery or Redshift) with cost-efficient design Proficiency in Python (Pandas, Flask, FastAPI); Java is a plus Experience with cloud/DevOps, monitoring, and data orchestration Ability to communicate with stakeholders across marketing, analytics, and engineering self-motivated and autonomous effective stakeholder communication cross-functional collaboration REST and GraphQL APIs Dataflow, Pub/Sub, Kafka (real-time streams) Dataform or dbt for transformation