Data Engineering Jobs in Ireland
There are 316 open Data Engineering jobs in Ireland on freehire right now. 94 of them were posted recently. The skills employers ask for most often are cloud, analytics and data-pipelines.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| EUR | year | €70,000 | €90,650 | €105,000 | 17 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- cloud 59%
- analytics 55%
- data-pipelines 53%
- sql 53%
- python 52%
- data-engineering 50%
- ai 41%
- aws 39%
How the work is done
- Hybrid 60 · 19%
- Remote 15 · 5%
- Onsite 3 · 1%
Visa sponsorship offered in 55% of the 29 postings that state a position on it.
Seniority
- Senior 112
- Lead 38
- Staff 12
- Principal 11
- Middle 7
- C-level 5
Who is hiring
- 1000+ employees 82
- 501-1000 employees 12
- 51-200 employees 4
- 11-50 employees 1
- 201-500 employees 1
Senior Snowflake Data Engineer - Customer Data Foundations
The Senior Data Engineer will design and optimize Snowflake environments to build scalable customer data foundations. The role involves creating reliable data pipelines to support CRM, personalization, and audience activation platforms like Braze and Hightouch.
Senior Data Engineer
Senior Data Engineer building and automating ETL/ELT pipelines on AWS, designing data lake architectures, developing QuickSight dashboards, and partnering with cross-functional teams to improve data governance and management insights.
Senior Data Engineer: Cloud Pipelines & Lakehouse
RTÉ is seeking a Senior Data Engineer to lead the development of cloud-based data pipelines and lakehouse architectures for enterprise analytics. The role involves mentoring team members and establishing standards for data governance, quality, and security.
Staff Data Engineer, GTM Data Foundation & LLM Enrichment
The Staff Data Engineer will own the GTM data foundation by building identity, hierarchy, and enrichment pipelines. The role involves deploying LLM-powered enrichment and ensuring data quality within Salesforce to support Sales, Marketing, and Ops teams.
Senior Data Engineer - AWS ETL/BI & Data Lake Lead
The Senior Data Engineer will design and maintain data architecture, build automated ETL/ELT pipelines on AWS, and develop interactive dashboards using QuickSight. The role involves collaborating with cross-functional teams to manage data ingestion and reporting infrastructure.
Data Platform DevOps Analyst
The Data Ops Analyst supports the reliability and performance of Primark's Databricks-based enterprise data platform by monitoring pipelines, managing incidents, and coordinating releases. The role involves collaborating with engineering teams to ensure data products are scalable and operationally ready.
Data Engineer – AWS Data Warehouse & GenAI (Hybrid Dublin)
Lead design and delivery of data-enablement solutions on AWS, owning the Redshift warehouse, ELT services, and QuickSight layer while building scalable data pipelines for reporting and AI-native tooling.
Senior Data Engineer: AI/ML Analytics & Cloud Pipelines
Senior Data Engineer building scalable data pipelines in Python/Java/C# on AWS, processing structured and unstructured data for analytics in an asset management technology team in Galway.
Senior Data Engineer
Senior Data Engineer leading the design and operation of AWS-based data warehousing, ELT pipelines, QuickSight reporting, and GenAI/LLM-powered analytics capabilities for a fintech company.
Senior Data Engineer
Senior Data Engineer processing structured and unstructured datasets to build analytics and data pipelines for an asset management team. Core technologies include Python, AWS, Oracle, Snowflake, S3, and LLMs.
Senior Data Engineer (Snowflake)
Design, build, and optimise Snowflake-based data platforms and ETL/ELT pipelines for an insurance client, working hybrid in Dublin with strong SQL and cloud ecosystem skills.
Data Engineer – Cloud Data Pipelines & Analytics
Data Engineer building cloud data pipelines and analytics solutions for Investment Management, Trading, and Middle Office using Snowflake and modern data lake technologies.