Data Engineer — Retail Media Analytics & Pipelines

Mediamarktsaturn; Madrid; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

10% discount on MediaMarkt website

Flexible Pay (MediaFlex)

Flexible working hours

Job summary

MediaMarktSaturn Technology is seeking an Experienced Data Engineer to join the Madrid team. You will design and operate ingestion pipelines against major marketing APIs, harmonize cross‑platform metrics, and deliver insightful dashboards for multi‑channel campaigns.

You will work with Python (Pandas, Flask, FastAPI), SQL, and modern data warehousing (BigQuery/Redshift). The role emphasizes data quality, privacy, and collaboration across Marketing, Analytics, and Engineering teams.

Qualifications

• 3+ years of professional Data Engineering experience.
• Experience with adtech/martech or e‑commerce data is preferred.
• Strong SQL and modern data warehousing (BigQuery/Redshift) skills.
• Proficient in Python with Pandas, Flask, and FastAPI.
• Excellent stakeholder communication across marketing, analytics, and engineering teams.

Responsibilities

• Design and operate ingestion pipelines against third‑party marketing APIs.
• Harmonize metrics across platforms with different attribution windows and currencies.
• Develop dashboards and reports to drive insights.
• Apply SQL‑based workflows and transformation tools (Dataform/dbt).
• Use Terraform for infra provisioning and manage CI/CD (GitHub Actions).
• Support cloud DevOps with monitoring and alerting in a Google Cloud environment.
• Ensure GDPR/TCF compliance in data handling and privacy controls.

Skills

API integration

Data ingestion

Data quality

Analytics

SQL

Python

Stakeholder comms

Tools

Dataform

dbt

Terraform

GitHub Actions

BigQuery

Redshift

Flask

FastAPI

Job description

MediaMarktSaturn Technology is seeking an Experienced Data Engineer to join the Madrid team. You will design and operate ingestion pipelines against major marketing APIs, harmonize cross‑platform metrics, and deliver insightful dashboards for multi‑channel campaigns.

You will work with Python (Pandas, Flask, FastAPI), SQL, and modern data warehousing (BigQuery/Redshift). The role emphasizes data quality, privacy, and collaboration across Marketing, Analytics, and Engineering teams.