Data Engineer (Azure & Databricks)

ITSearch · Recruitment agency
Full-timeData engineering€65k-70k/year (EUR)Ireland · Remote within Ireland · Hybrid
Apply Now

TechJobs.ie Job Insights

At a glance

Employment type
Full-time
Workplace
Hybrid
Salary
€65k-70k/year (EUR)

Technologies & skills

Primary technologies

Cloud & infrastructure

Other technical skills

What you'll be doing

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.

Key requirements

Must-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
  • Good communication skills

Experience: 4+ years

Role signals

Technical focus
Data engineering
Hands-on vs management
Hands-on

Check your CV against this job

Get a certified technical review aimed at this role.

Start a review

Full 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

  • Azure Data Lake Storage Gen2

  • 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

Apply Now

Register now to upload your CV

Create a free account, save a PDF or Word CV, and quick apply on roles that take applications here.

Apply NowApply before: 1 Oct 2026