20 Apr 2026

Data Engineer

Monks

Amsterdam Area

20 Apr 2026

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Data Engineer

Data Engineer role at Monks in Amsterdam Area, focusing on designing, building, and maintaining data pipelines and cloud infrastructure for marketing analytics. Requires 1+ years of experience in data science or data engineering, proficiency in Python and SQL, and a Bachelor's or Master's in a quantitative field. Opportunity to work on AI-driven innovation in marketing.

On-siteFull-timeEntry LevelPythonSQL

Data Engineer

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On-siteFull-timeEntry LevelPython

Salary

Not specified

Work Location

Amsterdam Area, NL

Work Model

On-site

Experience Required

1 years

Employment Type

Full-time

Experience Level

1+ years of working experience in data science or data engineering or a related field

Core Qualifications

Technical (Must-have)

PythonSQLdata pipelinescloud environmentdata cleansingdata warehousingmachine learningdata structuresdatabasesdata modeling

Soft Skills

communicationanalyticalproblem-solvingteamworkindependence

Tools (Must-have)

AWSGCPOAuthAPI keysdbtDataformAmazon RedshiftGoogle BigQuery

Preferred Qualifications

Technical (Nice-to-have)

CI/CDversion controlmarketing analyticssocial datamachine learningGen-AI models

Tools (Nice-to-have)

Google AnalyticsAdobe AnalyticsInstagramFacebookTikTok

Key Responsibilities

•Develop data pipelines and solutions across cloud platforms such as AWS and GCP
•Support the authentication and integration of platform APIs and help automate an end to end ETL processes for data integration and transformation
•Participate and collaborate in the design and implementation of data models and data warehouses
•Develop data transformation recipes that efficiently transform raw data into structured formats suitable for data warehousing
•Support and maintain with the documentation for data models, including architecture diagrams, schema, definitions, and metadata
•Monitor and troubleshoot data pipelines’ issues to ensure timely data availability
•Collaborate with the data science team to integrate and build ML models and Gen-AI applications
•Possess good data literacy and understand how technical data applications create business value
•Communicate progress and findings to both technical and non-technical team members

Data EngineerAdvertising ServicesInformation TechnologyFull-timeOn-sitePythonSQLAWSGCPData Science

Key Responsibilities

•Develop data pipelines and solutions across cloud platforms such as AWS and GCP

•Support the authentication and integration of platform APIs and help automate an end to end ETL processes for data integration and transformation

•Participate and collaborate in the design and implementation of data models and data warehouses

•Develop data transformation recipes that efficiently transform raw data into structured formats suitable for data warehousing

•Support and maintain with the documentation for data models, including architecture diagrams, schema, definitions, and metadata

•Monitor and troubleshoot data pipelines’ issues to ensure timely data availability

•Collaborate with the data science team to integrate and build ML models and Gen-AI applications

•Possess good data literacy and understand how technical data applications create business value

•Communicate progress and findings to both technical and non-technical team members