Data Engineer (Azure & Databricks)

IT Search; Dublin; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

IT Search in Dublin is seeking a hands‑on Data Engineer (Azure & Databricks) to join a growing data team. You will work alongside Senior Data Engineers, Data Architects and Analysts to build reliable, scalable data solutions that support reporting, analytics and business decision‑making.

This full‑time permanent role offers a hybrid working structure in Dublin city centre. You’ll own production data pipelines and grow skills across modern cloud data engineering.

Qualifications

• 4+ years’ experience in Data Engineering, ETL/ELT or analytics engineering.
• Strong hands-on SQL and Python.
• Experience building and supporting production data pipelines.
• Understanding of ETL/ELT, data modelling and data quality.
• Experience with Azure data services and Databricks.
• Hands-on exposure to PySpark.
• Practical problem-solving mindset and ability to troubleshoot pipelines.

Responsibilities

• Build data pipelines, transformations and automation.
• Support analytical and reporting users with data access and governance.
• Collaborate with Senior Data Engineers, Data Architects and Analysts.
• Maintain and improve production data pipelines and data quality controls.

Skills

Python

SQL

PySpark

Delta Lake

Azure Databricks

Azure Data Factory

Tools

Power BI

Git

Unity Catalog

Job description

We’re looking for a hands‑on Data Engineer (Azure & Databricks) to join a growing data team, working alongside Senior Data Engineers, Data Architects and Analysts to build reliable, scalable data solutions that support reporting, analytics and business decision‑making.

This is a great opportunity for someone who has moved beyond junior‑level delivery and is ready to take ownership of production data pipelines while continuing to develop their skills across modern cloud data engineering.

This is a full time permanent position, hybrid working structure in Dublin city centre

What you’ll be working with

• Python & SQL – building data pipelines, transformations and automation
• Azure Databricks – notebooks, jobs and data processing
• PySpark & Delta Lake – working with modern data processing and storage
• Azure Data Factory – orchestration, scheduling and dependencies
• Unity Catalog – data access and governance fundamentals
• Git – branching, pull requests and collaborative development
• Power BI – supporting analytical and reporting users

You’ll ideally have:

• 4+ years’ experience in Data Engineering, ETL/ELT, Analytics Engineering or a similar role
• Strong hands‑on SQL and Python
• Experience building and supporting production data pipelines
• Good understanding of ETL/ELT, data modelling and data quality
• Experience working with Azure data services
• hands‑on exposure to Databricks and PySpark
• A practical, problem‑solving mindset and the ability to troubleshoot pipeline and data issues
• Good communication skills and the ability to work with both technical and non‑technical stakeholders

please note that we can only accept applications from candidates fully eligible to work in Ireland