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 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

,

PySpark

, 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

Hybrid setup in Dublin – 3 days a week on-site with a close-knit, collaborative team

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!