Associate Director, Data Engineering

<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><h2><strong>About the Role</strong></h2> <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> <h2><strong>Media Analytics</strong></h2> <p>As .Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for a forward-deployed data engineer to serve as a high-exposure individual contributor embedded directly within our client's business. In this role, your primary responsibility will be building, maintaining, and scaling production-level data pipelines and infrastructure within the client's ecosystem. You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the Data Science team to assist in their application of statistical modeling and machine learning to help turn raw data into actionable business decisions. This position requires a unique combination of deep technical engineering expertise and the business acumen to drive services development from within the client's business.<br><br></p> <h3><strong>Responsibilities:</strong></h3> <ul> <li>Design, build, and maintain scalable, reliable, and automated data pipelines u