Direct message the job poster from TechHeads
Empowering Tech Talent | Senior Recruitment Consultant Driving Growth for Innovative Companies
Limerick, Ireland | Hybrid Working
Applicants must be based in Ireland and have the legal right to work full-time.
Are you a skilled Data Engineer with experience of Azure Data services looking for your next challenge? If so, this could be the perfect opportunity for you!
We are seeking a Data Engineer to join our clients dedicated data reporting and analytics team, working on a greenfield platform to deliver real-time insights. You’ll play a key role in designing and developing scalable data solutions using the latest Databricks and Delta Lake technologies on Azure Cloud.
What You'll Do:
1. Design, develop, and optimise robust data pipelines using Spark, Python, and SQL.
2. Ingest, transform, and enrich diverse data sources, including structured and unstructured data.
3. Collaborate with data scientists and analysts to deliver actionable insights.
4. Ensure data quality, security, and governance through best practices.
5. Contribute to the full software development lifecycle, from inception to deployment.
6. Work in an agile environment with regular code reviews and feedback.
What We're Looking For:
1. 4+ years of experience in data engineering roles.
Technical Skills:
1. Databricks & Delta Lake – experience with ETL/ELT patterns.
2. Knowledge of data lake architectures and data warehousing concepts.
3. Familiarity with data governance and security best practices.
Why Apply?
1. Cutting-Edge Technology: Work with the latest tools and technologies.
2. Collaborative Culture: Join a supportive and innovative team.
3. Contributing to incorporate real-time data services with this client.
4. Work with an industry leader in their space.
If you’re passionate about data engineering and eager to make a real impact, apply today and be part of something exciting!
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Data Infrastructure and Analytics
#J-18808-Ljbffr