Type: Contract | Location: Ireland (Remote)
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 doing
You'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 for
A formal Databricks certification(s) in an engineering or development track
Solid experience with Databricks, Py Spark, and SQL
Strong grounding in data lakehouse and Delta Lake principles
Cloud expertise on Azure or AWS (bonus points if you've worked with both)
Comfort building and maintaining ETL pipelines and production‑grade data flows
Understanding of CI/CD, version control (Git), and automation best practices
Someone who enjoys variety – you'll work across different industries and teams
Why you'll love it
Work with modern data stacks and diverse clients solving real business problems
Growth environment: you'll be supported to upskill in cloud, data architecture, and platform engineering
A people‑first culture that values initiative, learning, and genuine collaboration
If this sounds like you, click apply.
Today
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