Databricks Engineer

Databricks Data Engineer – Dublin (Hybrid, 3 days/week)Type: Permanent | Location: Dublin | Hybrid: 3 days/week onsite Sector: Multi-client Data Projects | Level: Mid-Level (min 3 years Databricks experience)Are you a data engineer who’s happiest when building things that just work — scalable pipelines, clean architectures, and dashboards that tell the right story at the right time?We’re partnering with several enterprise clients who are investing heavily in their Databricks and cloud data ecosystems, and we’re looking for engineers who want to play a key role in shaping those environments.What you’ll be doingYou’ll join a collaborative data engineering squad working across multiple client projects — designing, developing, and optimising ETL pipelines and data models using Databricks, Spark, and Delta Lake. Expect a healthy mix of hands-on build work, problem-solving, and collaboration with analytics, platform, and architecture teams to ensure data is accessible, reliable, and insight-ready.What we’re looking forA formal Databricks certification(s) in an engineering or development trackSolid experience with Databricks, PySpark, and SQLStrong grounding in data lakehouse and Delta Lake principlesCloud expertise on Azure or AWS (bonus points if you’ve worked with both)Comfort building and maintaining ETL pipelines and production-grade data flowsUnderstanding of CI/CD, version control (Git), and automation best practicesSomeone who enjoys variety – you’ll work across different industries and teamsWhy you’ll love itWork with modern data stacks and diverse clients solving real business problemsHybrid setup in Dublin – 3 days a week on-site with a close-knit, collaborative teamGrowth environment: you’ll be supported to upskill in cloud, data architecture, and platform engineeringA people-first culture that values initiative, learning, and genuine collaborationIf this sounds like you, click apply. Today!