Marketing Analytics Engineer - Data Pipelines & Insights

Turntwo; Amsterdam; Hybrid; EUR 45,000 - 67,000; Full time

Benefits offered by this job

Performance bonus every 3 months

Amsterdam office

Flexible hours

Work from home option

Job summary

Turntwo is seeking a medior/senior Marketing Analytics Engineer (32-40 hrs) to bridge data, technology and marketing. You will gather and structure data to generate actionable insights and operationalize them across marketing channels, collaborating with clients and consultants to maximize impact.

The role emphasizes SQL-heavy data engineering, data modeling, and use of GCP with tools like dbt, Looker Studio, and PowerBI.

Qualifications

• 2-4 years in a medior/senior marketing analytics/engineering role.
• Strong SQL experience.
• Experience with data engineering and programming languages is a plus (Python/R/JS).
• Experience with cloud data platforms (GCP, AWS, Azure) and data warehouses (BigQuery, Snowflake).
• Familiarity with dbt, Looker Studio/Looker, PowerBI or similar tools.
• Knowledge of digital marketing platforms and analytics tech (CDP/MA) is a plus.
• Bachelor's or Master's level education.
• Fluent in English; Dutch is a plus.

Responsibilities

• Collect and integrate data from marketing and customer systems.
• Build and maintain data pipelines and data models.
• Connect Marketing Tech systems & platforms.
• Develop reports and dashboards to visualize insights and opportunities.
• Activate data in marketing channels and CDP/MA tools.

Skills

SQL

Python/R/JS

GCP/AWS/Azure

BigQuery/Snowflake

dbt/Looker/PowerBI

Google Dataform

Marketing analytics

English (fluent)

Education

Bachelor's / Master's

Tools

GCP

Looker Studio

PowerBI

Job description

Turntwo is seeking a medior/senior Marketing Analytics Engineer (32-40 hrs) to bridge data, technology and marketing. You will gather and structure data to generate actionable insights and operationalize them across marketing channels, collaborating with clients and consultants to maximize impact.

The role emphasizes SQL-heavy data engineering, data modeling, and use of GCP with tools like dbt, Looker Studio, and PowerBI.