Semi Senior Data Engineer

<div class="content-intro"><p><span style="font-size: 10pt;">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 (<a class="c-link c-link--focus-visible" href="http://monks.com/careers" target="_blank" data-stringify-link="http://monks.com/careers" data-sk="tooltip_parent">monks.com/careers</a>).</span></p></div><p><strong>About us</strong></p> <p>Monks is a digital-first marketing and advertising services company connecting the dots across content, data &amp; digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, Monks’ single-P&amp;L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries.&nbsp;</p> <p>With us, you'll find a diverse group of colleagues with different backgrounds and perspectives. We believe everyone has something of value to offer, and that sustaining a truly diverse, equitable and inclusive workplace begins with fostering an environment where people can be themselves, authentically, every day. We want to build something with the potential to change the heart of our industry, and we’d love to include your unique perspective.</p> <p><strong>About the role</strong></p> <p>The Semi Senior Data Engineer will help design, build, and evolve scalable data solutions for digital marketing and advertising use cases. Working closely with our Analytics and Solutions Engineering teams, you will be responsible for end-to-end data engineering activities—from data discovery and ingestion to transformation, orchestration, and deployment—supporting reporting, measurement, and analytics use cases.</p> <p>This role is centered on developing robust data pipelines and analytics-ready data models across multiple platforms (DSPs, ad servers, and third-party sources). You will also contribute to client project phases, including requirements clarification, task planning and estimation, and solution recommendations.</p> <p>In addition, the role involves ensuring data quality, reconciliation across heterogeneous datasets, and supporting measurement workflows such as cross-platform metric allocation and incrementality/attribution reporting.</p> <h1>Tools</h1> <p>We are looking for someone experienced with (or familiar with) the following tools and technologies:</p> <ul> <li>Strong programming skills in <strong>SQL</strong>, <strong>Python</strong>, or other programming languages</li> <li>Experience with <strong>SQL</strong> and <strong>NoSQL</strong> databases</li> <li><strong>Cloud platforms</strong> such as <strong>Databricks, AWS, Azure, or Google Cloud Platform</strong></li> <li>Strong knowledge of <strong>cloud infrastructure</strong>, e.g. on <strong>GCP</strong>: <strong>BigQuery, Cloud Storage, Cloud Run Jobs, Cloud Monitoring, Dataflow, BigQuery Data Transfer Service, Storage Transfer Service</strong></li> <li><strong>Data modeling and transformation</strong> tools, such as <strong>dbt</strong> (including for <strong>BigQuery</strong>)</li> <li><strong>Terraform</strong> (infrastructure as code)</li> <li><strong>GitHub</strong> and <strong>GitHub Actions</strong> (CI/CD processes)</li> <li><strong>Looker</strong> and <strong>LookML</strong> is a plus</li> <li><strong>JavaScript</strong> knowledge is a plus</li> <li>Knowledge of <strong>media reporting UIs / APIs</strong> (e.g., <strong>DV360, SA360, Meta</strong>) is a plus</li> </ul> <h1>What we’re looking for</h1> <ul> <li>A <strong>Bachelor’s or Master’s degree</strong> in <em>informative engineering, computer science, applied mathematics, engineering, </em>or a related quantitative field—or equivalent work experience.</li> <li><strong>2-3 years of experience</strong> with any combination of analytics, marketing analytics, and analytical techniques for marketing, customer, and business applications.</li> <li>Hands-on experience with <strong>SQL</strong> and <strong>Python</strong>, along with <strong>experience using cloud products.</strong></li> <li>Hands-on experience developing data pipelines using common <strong>ETL/ELT</strong> tools and<strong> building data architecture patterns.</strong></li> <li>Familiarity with <strong>Agile</strong> methodologies and applying <strong>DataOps</strong> practices to build and deliver pipelines reliably.</li> <li>Experience working with <strong>media/advertising data</strong> is a plus</li> <li>Demonstrated ability to operate effectively <strong>independently</strong> and <strong>within a team</strong></li> </ul> <h1>Responsibilities</h1> <ul> <li><strong>Design, build, and maintain dbt models</strong> that integrate marketing and advertising data across DSPs, ad servers, and third-party platforms—reconciling differences in granularity (e.g., placement-level vs. creative-level metrics) and resolving join-key quality issues.</li> <li>Develop and maintain business logic for <strong>cross-platform metric allocation</strong> (e.g., distributing spend and impressions across creatives) to support monthly reporting and <strong>incrementality/attribution</strong> use cases.</li> <li>Build and maintain ingestion pipelines from diverse external sources, including <strong>cloud-to-cloud transfers</strong> (e.g., <strong>AWS S3 → GCS</strong>), <strong>Azure/SFTP drops</strong>, and <strong>vendor APIs</strong>, ensuring deduplication and data quality.</li> <li>Own and evolve <strong>GCP cloud infrastructure</strong> using <strong>Terraform</strong>, following established modular patterns and naming conventions; partner with platform teams on environment and deployment standards.</li> <li>Lead the migration of legacy ingestion patterns (e.g., <strong>BigQuery Data Transfers</strong>) to scalable, maintainable solutions built on <strong>Dataflow</strong> and <strong>Cloud Run</strong>.</li> <li>Configure and maintain <strong>observability and alerting</strong> across the stack (e.g., dbt source freshness, Cloud Run job failures, BigQuery Data Transfer issues) using <strong>Cloud Monitoring</strong>, deployed via Terraform.</li> <li>Manage the release lifecycle across <strong>QA, STG, and PROD</strong> environments, including branching strategy, scheduled releases, and automated release-note generation via <strong>GitHub Actions</strong>.</li> <li>Produce and maintain high-quality technical documentation, <strong>runbooks</strong>, and design artifacts; review and curate client-facing release communications.</li> <li>Collaborate with analytics, measurement, and client-facing teams to translate reporting and measurement requirements into reliable data products.</li> </ul> <p>#LI-Hybrid <span data-sheets-root="1">#LI-VG1</span><span data-sheets-root="1">#LI-AS1 #ID: 12409</span></p><div class="content-conclusion"><p><span style="font-size: 10pt;"><strong>About Monks </strong></span></p> <p><span style="font-size: 10pt;">Monks is the global, digital-first, data-driven, unitary operating brand of S4Capital plc, where our culture centers on how we show up for the work and for one another. That begins with the commitment to strive for mastery—taking deep pride in our craft and creating work that sets the bar. In everyday execution, we drive momentum by choosing bold action rather than waiting for certainty. Above all, our teams are stronger together, bringing diverse perspectives into a unified team that communicates with clarity, trust, and mutual respect.</span><br><span style="font-size: 10pt;">&nbsp;</span><br><span style="font-size: 10pt;">This commitment to craft and innovation translates directly into widespread industry acclaim: Monks was named a Contender in The Forrester Wave™: Global Marketing Services and a leader in the 2026 Gartner® Magic Quadrant™ for Global Digital Marketing Agencies. It 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 (2025), Monks was also awarded Business Intelligence Group’s 2026 Excellence in Artificial Intelligence Award in the Human-Machine Interaction Team category. Additionally, Monks.Flow earned AI-based Marketing Solution of the Year at the 2026 AI Breakthrough Awards and a 2026 Global Generative AI Award in the Agentic Marketing Innovation category. Finally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.</span></p> <p><span style="font-size: 10pt;">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.&nbsp;</span></p></div>