Semi-Senior Data Scientist: Build Data Pipelines & Dashboards

Monks; Hilversum; On-site; EUR 60,000 - 90,000; Full time

Job summary

Monks is seeking a Semi-Senior Data Scientist to build and maintain data infrastructure and visualization layers for digital marketing analytics. You will bridge raw data to decision-ready insights by creating robust pipelines, data warehouses, and interactive dashboards across major brands.

You’ll collaborate with Analytics, Data Science, and Solutions Engineering to enable cross-channel measurement and data-driven experimentation, leveraging Looker Studio and GA4 Omni Insights for actionable

Qualifications

• Bachelor’s degree in a quantitative field or related discipline.
• 2+ years hands-on experience in data engineering, analytics engineering, or data warehousing.
• Proficiency in Google Cloud Platform (GCP): BigQuery, Cloud Composer/Airflow, and security/access controls.
• Strong SQL and Python for data manipulation, cleansing, and transformation.
• Experience extracting data from media/playback APIs and analytics platforms (GA4).
• Experience building self-serve dashboards with Looker Studio/Looker/GA4 Omni Insights.

Responsibilities

• Build and maintain ingestion pipelines to extract spend, impression, and conversion data from major media APIs into BigQuery.
• Design and manage the BigQuery warehouse with partitioning, clustering, and incremental models.
• Develop robust transformation logic to create modeling-ready datasets for MMM and geo/matched-market experiments.
• Implement data quality controls, schema validations, and anomaly detection to catch data issues.
• Integrate and maintain Data Manager APIs and GA4-to-BigQuery pipelines for first-party signals.
• Manage cloud infrastructure including scheduling, service accounts, access controls, and cost monitoring.
• Build and maintain interactive dashboards presenting media performance metrics and test readouts.
• Deliver serving and visualization layers for MMM, incrementality, and geo-test outputs for decision support.
• Collaborate with analytics and client teams to translate data models into actionable roadmaps.

Skills

SQL proficiency

Python proficiency

BigQuery

Airflow/Composer

Data pipelines

ETL/ELT

Looker Studio

Looker

Education

Bachelor's degree

Tools

BigQuery

Cloud Composer/Airflow

dbt

Terraform

Pub/Sub

Apache Beam

Job description

Monks is seeking a Semi-Senior Data Scientist to build and maintain data infrastructure and visualization layers for digital marketing analytics. You will bridge raw data to decision-ready insights by creating robust pipelines, data warehouses, and interactive dashboards across major brands.

You’ll collaborate with Analytics, Data Science, and Solutions Engineering to enable cross-channel measurement and data-driven experimentation, leveraging Looker Studio and GA4 Omni Insights for actionable