Data Engineer — Hybrid, Build Scalable Data Pipelines

Mediaprobe; Maia; Hybrid; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Gym/Padel lessons

Psychology sessions

Food allowance (Coverflex meal card)

Hybrid work model

Team events and coffee breaks

Job summary

Mediaprobe is seeking a Data Engineer to design, build, and maintain robust data pipelines powering analytics and ML models. You will collaborate with data scientists and product teams to ensure data quality and availability across the organization.

The role emphasizes developing scalable data infrastructure, working in a hybrid Office/Remote setup at Parque TecMaia, and advancing the company’s media measurement platform with cutting-edge technologies.

Qualifications

• Experience in data engineering, data infrastructure, or similar field.
• Proficiency in Python and SQL; strong SQL skills.
• Experience with cloud platforms (AWS preferred) and streaming data.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop and manage data models and databases for BI and ML.
• Collaborate with cross-functional teams to ensure data integrity.
• Optimize data systems for performance, scalability, and cost.
• Ensure data security and privacy compliance.

Skills

Python

SQL

ETL/ELT pipelines

Data modeling

System design

Data quality

Tools

Mage.AI

Apache Airflow

PySpark

dbt

Kafka

BigQuery

Snowflake

Redshift

Job description

Mediaprobe is seeking a Data Engineer to design, build, and maintain robust data pipelines powering analytics and ML models. You will collaborate with data scientists and product teams to ensure data quality and availability across the organization.

The role emphasizes developing scalable data infrastructure, working in a hybrid Office/Remote setup at Parque TecMaia, and advancing the company’s media measurement platform with cutting-edge technologies.