Data Engineer (Azure & Databricks)
Summary
A mid-level Data Engineer (4+ years) builds and supports production data pipelines for reporting and analytics using Python, SQL, Azure Databricks, PySpark, Delta Lake and Azure Data Factory, with Unity Catalog governance and Power BI support, in a hybrid role in Dublin city centre.
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