Data Engineer - Future Opportunity / Talent Pool
Please note: This job post is intended for future opportunities and talent pool building purposes only. We are not actively hiring for this position at the moment, but we’d love to connect with talented professionals who may be a great fit for upcoming opportunities at Monks.
Title: Data Engineer
Job Family/Job Family Group: Data & Analytics
About the Role
As a Data Engineer, you'll help scale our Global Enterprise Analytics capabilities by developing, implementing, and maintaining robust data pipelines, systems, and models to enable data-driven decision-making across global client engagements. You will balance internal service development and operations with external client-facing collaboration alongside Growth and Account Management teams. We are looking for someone who thrives in cross-functional, agile environments, pairs technical precision with strong communication, and is passionate about mentoring junior team members while turning complex data streams into actionable business intelligence.
Responsibilities:
Design, develop, and maintain complex, scalable data pipelines and systems to process large volumes of data efficiently.
Architect data solutions that are scalable, reliable, and secure, ensuring they meet rigorous business and analytics requirements.
Collaborate with cross-functional teams across data, media, strategy, and consulting to gather requirements, identify data sources, and ensure high data quality.
Develop and maintain data models, ETL processes, and seamless data integration strategies across cloud environments.
Design and implement data governance policies, best practices, and procedures to uphold data accuracy, consistency, and security.
Build dashboards, reports, and visualizations to clearly communicate technical insights and metrics to cross-functional stakeholders.
Support junior team members in developing measurement frameworks, test-and-learn roadmaps, dashboard builds, and audience segmentation workflows.
Apply DataOps methods and agile delivery practices to streamline pipeline releases, ensure teamwork, and guarantee the timely delivery of client projects.
About You
The essentials:
Education & Background: Bachelor’s or Master’s degree in Computer Science, Operations Research, Statistics, Applied Mathematics, Economics, Engineering, Physics, or equivalent quantitative practical experience.
Experience: 3+ years of experience across analytics, marketing analytics, and analytic techniques for customer and business applications.
Core Programming & DBs: Strong programming proficiency in SQL, Python, or R, combined with solid experience working with SQL and NoSQL databases.
Cloud & ETL Stack: Hands-on experience with Google Cloud Platform (GCP), Google BigQuery, and common ETL tools (e.g., Funnel.io, Tableau Prep).
BI & Visualization: Proven expertise building dashboards using tools such as Tableau, Looker, Google Looker Studio, Power BI, or Datorama.
Media & Analytics Tech: Deep understanding of analytics platforms (Google Analytics, Adobe) and ad tech/media reporting APIs and UIs (DV360, SA360, Meta).
Methodologies & Collaboration: Proven aptitude for agile methodologies, DataOps pipeline delivery, and operating effectively both autonomously and within collaborative teams.
Language Proficiency: Advanced/fluent English communication skills (written and spoken) to support teams and stakeholders in the US and globally.
Not a Must but a Plus:
Hands-on experience with multi-cloud environments such as AWS or Microsoft Azure.
Experience working with digital advertising attribution modeling, programmatic display/video tech, and ad-serving pipelines.
Prior agency or consultancy experience interfacing directly with client stakeholders and cross-functional growth teams.
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.