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As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure.
You should have a strong foundation in data engineering fundamentals, SQL, cloud data warehousing, and pipeline development with the ability to translate client requirements into robust technical solutions. Ideally, you have some experience working with marketing or product data, coupled with a solid grounding in modern data stack tools (dbt, BigQuery, orchestration frameworks) and cloud technologies. While the role focuses on data engineering, it also offers opportunities to contribute to data science and GenAI-powered projects.
This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Data Science teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about building the data foundations that power modern digital experiences, we encourage you to apply!
Assist in designing, building, and deploying data pipelines and cloud-native data solutions on platforms such as GCP and AWS.
Support the development of ingestion pipelines from marketing and advertising data sources (e.g. CM360, GA4, Meta, TikTok, CRM systems) into cloud data warehouses.
Contribute to the design and implementation of data models using dbt or Dataform, turning raw data into analytics-ready datasets that power reporting, measurement, and ML use cases.
Write performant SQL to transform and serve large datasets in BigQuery, Snowflake, Redshift, or Databricks.
Support API authentication and automation of ETL/ELT processes for data integration across cloud environments.
Contribute to the deployment and orchestration of pipelines using tools such as Cloud Workflows or dbt Cloud.
Help apply GenAI tools (e.g. Claude, ChatGPT, Gemini) to accelerate engineering workflows and, where relevant, to client-facing data solutions.
Learn to navigate the lifecycle of a data engineering project, understanding trade-offs between performance, cost, maintainability, and time-to-delivery.
Follow and contribute to documentation and best practices for pipeline development, data quality, and deployment to ensure consistency and scalability.
Communicate technical concepts and solutions to both technical and non-technical stakeholders, including clients.
Bachelor's or Master's in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
1+ years of working experience in data engineering, analytics engineering, or a related field.
Familiarity with designing and deploying cloud solutions on platforms such as GCP or AWS.
Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent.
Strong proficiency in SQL and Python.
Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake).
Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot.
Familiarity with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS).
Awareness of GenAI tools and their applied use in engineering workflows (e.g. Claude Code, Cursor, Copilot).
Fluent English communication and written skills.
Strong analytical and problem-solving skills with the ability to work independently and in a team environment.
Bachelor's or Master's Degree in Computer Science, Software Engineering, or Data Engineering.
Previous agency or consultancy experience is a plus.
Professional Cloud Certification (e.g. GCP Professional Data Engineer, AWS Data Engineer Associate).
Familiarity with marketing analytics tools and data (e.g. Google Analytics, Adobe Analytics, CM360, GA4).
Awareness of DataOps, CI/CD (e.g. GitHub Actions, Cloud Build), and version control tools.
Familiarity with paid media and social data sources (e.g. Meta, TikTok, Google Ads).
Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
Experience with Looker Studio, Looker, Power BI, or any BI/visualisation tool.
Exposure to server-side tagging (e.g. GTM Server-Side) or Customer Data Platforms (CDPs).
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.* *
#LI-RE1 #LI-Hybrid
**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.