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, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.
Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.
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.
