<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 & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, Monks’ single-P&L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries. </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 g