Data Engineer

Firewood Marketing, Inc.; Hilversum; Hybrid; EUR 75,000 - 110,000; Full time

Job summary

Monks, a global data-driven marketing technology firm, is hiring a Data Engineer in the Netherlands to design, build, and maintain data pipelines and cloud infrastructure. You will contribute to scalable data architectures and partner with analytics teams to unlock business insights.

Ideal candidates have 5+ years in data engineering or data science, strong Python and SQL, and experience with cloud platforms (AWS/GCP). Dutch language skills are required for client work in the Netherlands.

Qualifications

• Bachelor or Masters in a quantitative field or related discipline.
• 5+ years of working experience in data science or data engineering or related field.
• Associates or Professional Cloud Certification such as GCP Data Engineer or Data Architect.
• Proficient in Python and SQL.
• Experience with authenticating and authorising API requests (OAuth, API keys).
• Solid understanding of data structures and databases.
• Knowledge of data modeling tools like dbt or Dataform.
• Experience with data warehousing and ETL using Redshift or BigQuery.
• Awareness of data privacy principles and best practices.
• Fluent English communication and writing 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 for warehousing readiness.
• Maintain documentation for data models, schemas, and metadata.
• Monitor and troubleshoot data pipelines to ensure timely data availability.
• Collaborate with data science team to integrate ML models and Gen-AI apps.
• Apply data literacy to demonstrate business value of technical data.
• Communicate progress and findings to technical and non-technical teams.
• Demonstrate strong analytical and problem-solving skills, both independently and in teams.

Skills

Python

SQL

OAuth

API Keys

Data modeling

ETL pipelines

dbt

BigQuery

Redshift

AWS

GCP

English fluency

Education

Bachelor's or Master's in Data Science / CS / Math

Tools

dbt

Dataform

Amazon Redshift

Google BigQuery

AWS

GCP

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 ).

Description

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. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply!

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.

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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.

At Monks, we are committed to protecting your personal information. As part of our recruitment process, we collect and process personal data to evaluate your application and communicate with you. To understand how we handle your information, including the types of data we collect, how we use it, and your rights, please read our Monks Candidate Privacy Notice . We encourage you to review this notice to ensure you are fully informed about how your data will be managed during your application process.

Monks does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.