Marketing Analytics Engineer — Data Pipelines & Dashboards

Vinted; Amsterdam; Hybrid; EUR 54,000 - 73,000; Full time

Benefits offered by this job

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25 days paid leave

Newest MacBook models

Employee Assistance Program

Team events

Home office budget €540

Lunch benefit

Gym membership discount

Personal shopping budget

Pension plan

NS Business Card for commute

Workation up to 90 days/year

Dog-friendly office

Job summary

Vinted in Amsterdam is seeking an Analytics Engineer in Marketing to design, build and operate data pipelines that power marketing performance. You will develop robust pipelines that ingest, process, and monitor data for high-integrity reporting across Europe.

You’ll partner with Marketing Operations Intelligence, Marketing Modelling Intelligence, and other Analytics Engineers in Marketing, leveraging dbt/BigQuery, Looker and the broader stack to deliver trusted datasets and self-serve analytics.

Qualifications

• Hands-on analytics engineering or data engineering (≈3 years) with ownership of production pipelines.
• Strong SQL skills, including readable queries and performance improvements at scale.
• dbt experience, building well-tested and performant models; stack includes GCP, Airflow, Python, Looker.

Responsibilities

• Design and build scalable marketing data models in dbt/BigQuery/Looker for reporting and optimization.
• Implement data quality checks and controls to improve reliability.
• Own production reliability by investigating incidents and shipping fixes.
• Translate marketing needs into documented models and metrics.

Skills

SQL

dbt

BigQuery

Python

Looker

Data modeling

Data quality

English fluency

Tools

Airflow

Git

GCP

Job description

Vinted in Amsterdam is seeking an Analytics Engineer in Marketing to design, build and operate data pipelines that power marketing performance. You will develop robust pipelines that ingest, process, and monitor data for high-integrity reporting across Europe.

You’ll partner with Marketing Operations Intelligence, Marketing Modelling Intelligence, and other Analytics Engineers in Marketing, leveraging dbt/BigQuery, Looker and the broader stack to deliver trusted datasets and self-serve analytics.