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. 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
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 offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing.
Requirements
- Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
- 1+ 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.
