Data Engineer

Monks; Hilversum; On-site; EUR 90,000 - 130,000; Full time

Job summary

Monks is hiring a Data Engineer to design, build, and maintain data pipelines and cloud infrastructure. You will work on data cleansing, modeling, and warehousing while interfacing with data science and marketing analytics teams.

The Netherlands-based role requires a Dutch native speaker and a strong foundation in cloud environments, APIs, and ETL processes. You will contribute to AI-driven marketing innovations at Monks.

Qualifications

• Bachelor or Master in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, or related.
• 5+ years of experience in data science, data engineering, or related field.
• Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, ML Engineer or equivalent.
• Proficiency in Python and SQL.
• Experience with API authentication (OAuth, API keys) and debugging API challenges.
• Strong understanding of data structures, databases, and data modeling concepts.
• Familiarity with dbt or Dataform for data modeling.
• Experience with data warehousing and ETL with Redshift or BigQuery.
• Knowledge of data privacy principles.
• Fluent English communication and written skills.

Responsibilities

• Develop data pipelines across AWS and GCP.
• Automate end-to-end ETL processes for data integration and transformation.
• Design and implement data models and data warehouses.
• Create data transformation recipes to structure raw data.
• Maintain documentation for data models, architecture diagrams, schemas, and metadata.
• Monitor and troubleshoot data pipelines to ensure timely data availability.
• Collaborate with the data science team to integrate ML models and Gen‑AI applications.
• Communicate progress and findings to technical and non-technical stakeholders.
• Demonstrate strong analytical and problem‑solving skills, work independently or in a team.

Skills

Python

SQL

API authentication

Data modeling

Data warehousing

Cloud platforms (AWS, GCP)

Data pipelines

Gen‑AI / ML concepts

English communication

Dutch language requirement

Education

Bachelor or Master’s in a quantitative field

Cloud certification (e.g., GCP)

Tools

dbt

Dataform

Amazon Redshift

Google BigQuery

Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

As a Data Engineer at Monks, you'll have the opportunity to grow and contribute to exciting projects by helping to design, build, and maintain data pipelines and cloud infrastructure. The data engineer should have a strong foundational understanding of cloud environment, data pipelines, data cleansing, and basic data warehousing. Ideally, you possess a foundational understanding of machine learning concepts, allowing you to bridge the gap between engineering and advanced marketing analytics applications. This role is an excellent opportunity for those looking to build a career in data engineering and data science.

This Netherlands-based role requires supporting the Data Strategy team with a major Netherlands client so requires a Dutch native speaker. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing.

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.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment

Requirements

• Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 5+ years of working experience in data science or data engineering or a related field.
• Associate Cloud Certification such as GCP Cloud Architect, Data Engineer, Machine Learning Engineer or any equivalent.
• Proficiency in Python and SQL.
• Expertise in authenticating and authorising API requests using methods such as OAuth and API keys and troubleshooting common API-related challenges.
• Solid understanding of data structures and databases.
• Good understanding of data modeling concepts and tools such as dbt or Dataform.
• Solid understanding of data warehousing and ETL concepts and experience with tools like Amazon Redshift or Google BigQuery.
• Familiarity with data privacy principles and best practices.
• Fluent English communication and written skills.

Preferred Requirements

• Bachelor or Masters Degree in Data Science.
• Professional Cloud Certification.
• Experience with CI/CD and version control tools.
• Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics).
• Familiarity with social data (e.g. Instragram, Facebook, Tiktok).
• Experience with machine learning and Gen-AI models.
• Dutch native speaker is required for this role.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve.

We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

About Monks

Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger’s Programmatic Power Players list every year (2020-24). Named Adweek’s first AI Agency of the Year (2023) and The One Show’s inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group’s 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner‑up for the Adobe Firefly Partner Award (2024), and Workato’s AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.