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Dublin, Ireland
2026-06-28
Mentor Talent Acquisition
UK & Ireland
Graduate Data Engineer
Role Description
**About the company**
We're working with one of Ireland's fastest-growing Data \& AI consultancies. They're a Deloitte Fast 50 Top 15 company (two consecutive years), a Snowflake Elite Partner (2026\), and winners of the Snowflake 'UKI Services Accelerator Partner of The Year' award.
This isn't your typical consulting firm. They have a young, collaborative, and flat structure where you'll work across multiple industries and clients from day one — not spend years on a single account.
**The rol**
eAs a Graduate Data Engineer, you'll be part of a fast-growing team designing and implementing ETL solutions for real clients. You'll get hands-on experience with modern cloud data platforms, work directly with stakeholders, and be exposed to the latest data technologies including Snowflake, Databricks, and AI
**.
What you'll**
* doDesign and build ETL pipelines using cloud platforms (Azure, AWS, GC
* P)Develop SQL queries and data solutions in Snowflake or Databric
* ksCollaborate with client teams to understand business requiremen
* tsLearn data warehousing concepts (dimensional modelling, OLAP, Star schema
* s)Explore AI and LLM applications in data projec
* tsSupport the delivery of BI and analytics projec
* tsWork in a collaborative team environment with experienced mento
**rs
What we're looking**
forMust ha
* ve:Bachelor's degree in Computer Science, Data Science, Analytics, AI, Mathematics, Statistics, or related fi
* eldStrong SQL fundament
* alsExposure to Python or similar programming langu
* ageInterest in ETL, data engineering, or data warehous
* ingFamiliarity with (or willingness to quickly learn) Snowflake, Databricks, or cloud platforms (Azure, AWS, G
CP)We're also looking for someone who
* is:Curious, ambitious, and driven to learn new technolog
* iesA collaborative team player with common se
* nseCommercially minded — you understand why data matters to busin
* essHappy working in a fast-paced, client-facing environm
* entPragmatic, and comfortable with 3 days onsite in Dub
linNice to ha
* ve:Internship or consulting experie
* nceExperience with Power BI or data visualisation to
* olsPersonal projects involving data pipelines or analyt
* icsExposure to AI or machine learning conce
**pts
Why j**
* oin?Work on real projects for real clients across multiple industries — not repetitive
* workContinuous learning culture — you'll pick up Snowflake, Databricks, AI tools, and
* moreFlat, collaborative structure with exposure to consulting best pract
* icesClear progression path with ambitious growth tar
* getsClient-facing experience from day
* oneDeloitte Fast 50 Top 15 company with Snowflake Elite Partner st
atus