Data Engineer Jobs in Dublin, EEA

Biological Structures Data Engineer I/II at Iambic therapeutics. Apply via Ashby.

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world’s top athletes.  Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product and software designers and engineers. Kitman Labs’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women’s Soccer League and MLS. Data Engineer We're looking for a Mid-Level Data Engineer to join our team and help build and evolve our data platform. You'll work across analytics engineering, data pipelines, and data quality — collaborating closely with Engineers, Data Scientists, and Product to turn raw data into reliable, scalable foundations.

<p><strong>Who We Are</strong></p> <p>At 2K, we create some of the most iconic and culture-shaping video games in entertainment, including NBA® 2K, one of the top-selling franchises in the world, and legendary titles like BioShock®, Borderlands®, Mafia, Sid Meier’s Civilization®, and XCOM®, as well as fan favorites WWE® 2K, TopSpin®, and PGA TOUR® 2K. We build unforgettable experiences by pushing the boundaries of creativity, authenticity and innovation across every genre.</p> <p>Our portfolio is brought to life by some of the most influential game development studios in the world. Visual Concepts, Firaxis Games, Hangar 13, Cat Daddy Games, 31st Union, Cloud Chamber, Gearbox, HB Studios, and 2K SportsLab create world-class experiences across platforms.</p> <p>But what truly powers 2K is our people.</p> <p>We believe the best ideas come from teams that feel empowered, supported, and inspired. As an equal opportunity employer, we are committed to fostering a diverse, inclusive workplace where people are encouraged to come as they are and do their best work.</p> <p> </p> <p><strong>What We Need</strong></p> <p>The <strong>Director of Data Engineering</strong> is a technical and strategic powerhouse responsible for architecting the data foundations that power 2K’s global ecosystem. This role oversees the engineering strategy, telemetry standards, and infrastructure framework that transforms raw player interactions into high-fidelity, actionable intelligence.</p> <p>You will lead the evolution of our data platform, moving beyond traditional ETL toward a proactive, AI-integrated environment. As a natural "bridge builder," you will partner deeply with Studio leads and cross-functional executives to expand the remit of data engineering. Crucially, you will act as a steward of our resources, applying <strong>FinOps principles</strong> to ensure our infrastructure is high-performing, cost-efficient, and that every technical investment delivers clear business value—ensuring the "juice is always worth the squeeze."</p> <p><strong>What You’ll Do</strong></p> <p><strong>Architect 2K’s Next-Gen Data Strategy</strong></p> <ul> <li>Lead a forward-looking data engineering vision that scales across Sports, Core, and R&D, prioritizing high-scale telemetry and proactive data modeling.</li> <li>Transition 2K’s infrastructure toward AI-augmented data processing, leveraging tools like Snowflake Cortex or Databricks Genie to automate and optimize the data lifecycle.</li> </ul> <p><strong>Drive FinOps & Infrastructure Efficiency</strong></p> <ul> <li>Own the cloud infrastructure budget, implementing rigorous FinOps practices to monitor, manage, and optimize

<div class="content-intro"><p>Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.</p> <p>At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.</p></div><p>As an Senior Data Engineer, you will help the DataOps team build the data transport, collection, and storage, and expose services that make data accessible to all of Gong’s business data platforms. We are seeking a Data Engineer to develop a scalable data platform. You'll have ownership of our core business data pipeline that powers Gong’s top-line metrics. You will also use data expertise to help evolve data models in several components of the data stack. You will help architect, build, and launch scalable data pipelines to support Gong’s growing data processing and analytics needs. Your efforts will allow access to business and user behavior insights, using Gong’s data to fuel several teams across the organization. </p> <h3><strong>Role Summary:</strong></h3> <p>We are looking for a <strong>Senior</strong> <strong>Data Engineer</strong> to join our IT Infrastructure team. This role will focus on building, optimizing, and maintaining our data infrastructure to support business analytics, data integration, and automation efforts. You will work with a modern stack—including GCP, AWS, Snowflake, Jenkins, dbt, Retool, Tableau, and Workato—to ensure data flows efficiently and securely across the organization.<br>You are a strong self-starter with the ability to navigate ambiguous, fast-paced work environments while managing relationships with stakeholders.</p> <h3><strong>Key Responsibilities:</strong></h3> <h4><strong>Data Engineering & Integration:</strong></h4> <ul> <li>Design, develop, and maintain scalable <strong>ETL/ELT pipelines</strong> using tools such as

Data Engineer at Airapps. Apply via Ashby.