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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_03224784-9c2"},"title":"Senior Data Engineering Manager","description":"<p>Job Title: Senior Data Engineering Manager</p>\n<p>Location: Dublin, Ireland</p>\n<p>Department: R&amp;D</p>\n<p>Job Description:</p>\n<p>Intercom is seeking a Senior Data Engineering Manager to lead the design and evolution of the core infrastructure that powers our entire data ecosystem. As a leader, you will partner with product and business teams to drive key data initiatives and ensure the success of our data engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Next-Gen Platform Evolution: Partner with product and business teams to design and implement the next generation of our data stack, ensuring it can meet the demands of advanced analytics and AI applications.</li>\n</ul>\n<ul>\n<li>Enablement Through Tooling: Partner closely with Analytics Engineers, Analysts, and Data Scientists to build self-service tooling and infrastructure that enables them to move fast and deploy safely.</li>\n</ul>\n<ul>\n<li>Data Quality Guardianship: Implement advanced monitoring systems to proactively detect, surface, and resolve data quality issues across our high-throughput environment.</li>\n</ul>\n<ul>\n<li>Driving Automation: Develop automation and tooling that streamlines the creation and discovery of high-quality analytics data, making the entire data lifecycle more efficient.</li>\n</ul>\n<p>Strategic Impact You&#39;ll Drive:</p>\n<ul>\n<li>GTM Data Platform Strategy: Build the data acquisition strategy that will enable us to build the next generation of business-focused internal software.</li>\n</ul>\n<ul>\n<li>Conversational BI Strategy: Lead the charge to shift away from complex, technical reporting toward natural language interaction to make data truly democratized and accessible.</li>\n</ul>\n<ul>\n<li>Platform &amp; Warehousing Strategy: Lead the architectural- and cost review and revamp of our core data infrastructure to ensure it can scale exponentially for future growth and advanced use cases.</li>\n</ul>\n<p>Recent Wins You&#39;ll Build Upon:</p>\n<ul>\n<li>AI-assisted Local Analytics Development Environment for Airflow and DBT.</li>\n</ul>\n<ul>\n<li>Data-rich AI apps containerized on Snowflake SPCS.</li>\n</ul>\n<ul>\n<li>A new, modern data catalog solution.</li>\n</ul>\n<ul>\n<li>Migrating critical MySQL ingestion pipelines from Aurora to PlanetScale.</li>\n</ul>\n<p>Who You Are:</p>\n<ul>\n<li>A leader, a builder, and a problem-solver who thrives on solving real-world business problems.</li>\n</ul>\n<ul>\n<li>7+ years of experience in the data space, leading teams of 6+ engineers.</li>\n</ul>\n<ul>\n<li>Stakeholder focus: ability to communicate complex technical solutions to a business-focused audience and vice versa.</li>\n</ul>\n<ul>\n<li>Technical depth: not afraid to get hands dirty and write code when needed.</li>\n</ul>\n<ul>\n<li>A leader and mentor: naturally recognizes opportunities to step back and mentor others.</li>\n</ul>\n<p>Bonus Points (Our Modern Stack Knowledge):</p>\n<ul>\n<li>Airflow at scale: extensive experience working with Apache Airflow, especially the nuances of operating it reliably in a high-volume environment.</li>\n</ul>\n<ul>\n<li>Modern data stack fluency: familiarity with tools like Snowflake and DBT.</li>\n</ul>\n<ul>\n<li>Future-focused: keeps a keen eye on industry trends and emerging technologies.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Competitive salary and equity in a fast-growing start-up.</li>\n</ul>\n<ul>\n<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>\n</ul>\n<ul>\n<li>Regular compensation reviews - we reward great work!</li>\n</ul>\n<ul>\n<li>Pension scheme &amp; match up to 4%.</li>\n</ul>\n<ul>\n<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>\n</ul>\n<ul>\n<li>Open vacation policy and flexible holidays so you can take time off when you need it.</li>\n</ul>\n<ul>\n<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>\n</ul>\n<ul>\n<li>If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>\n</ul>\n<ul>\n<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>\n</ul>\n<p>Policies:</p>\n<ul>\n<li>Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.</li>\n</ul>\n<ul>\n<li>We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_03224784-9c2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Intercom","sameAs":"https://www.intercom.com/","logo":"https://logos.yubhub.co/intercom.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/intercom/jobs/7574762","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Airflow","Apache Airflow","DBT","Snowflake","Data Engineering","Data Science","Analytics","Data Management","Data Quality","Automation","Cloud Computing","Data Warehousing","Big Data","Machine Learning","Artificial Intelligence"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:06.635Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dublin, Ireland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Airflow, Apache Airflow, DBT, Snowflake, Data Engineering, Data Science, Analytics, Data Management, Data Quality, Automation, Cloud Computing, Data Warehousing, Big Data, Machine Learning, Artificial Intelligence"}]}