Data Engineer II: Scalable ETL & Data Pipelines

Cpl Group; Dublin; Hybrid; EUR 92,000 - 120,000; Full time

Job summary

Cpl Group is seeking a Data Engineer II in Dublin on a hybrid, long-term contract basis. You will design, build, and maintain data pipelines, optimize ETL processes, and collaborate with cross-functional teams across global client engagements.

The role emphasizes scalable data solutions, data quality, and rapid delivery in multi-client projects. Candidates should have strong SQL skills, experience with Databricks and Spark, and a background in data modeling and relational databases.

Qualifications

• Experience with data engineering concepts including data modeling and scalable data solutions.
• Strong SQL skills for querying, optimizing, and analyzing large datasets.
• Experience with Databricks and Spark in a data engineering context.
• Familiarity with version control and data validation practices.

Responsibilities

• Design, implement, and maintain enterprise ETL processes for data platforms.
• Collaborate with Data Engineers and Analysts to deliver high-value data solutions.
• Develop scalable data pipelines and optimize data processing workflows.
• Translate business questions into data requirements and deliver actionable insights.
• Apply industry best practices like version control, code reviews, and testing.

Skills

Data modeling

SQL optimization

Cross-functional collaboration

Problem solving

Multi-project management

Communication

Education

Bachelor's degree in a quantitative field

Tools

Databricks

Spark

Microsoft SQL Server

GitHub Copilot

Job description

Cpl Group is seeking a Data Engineer II in Dublin on a hybrid, long-term contract basis. You will design, build, and maintain data pipelines, optimize ETL processes, and collaborate with cross-functional teams across global client engagements.

The role emphasizes scalable data solutions, data quality, and rapid delivery in multi-client projects. Candidates should have strong SQL skills, experience with Databricks and Spark, and a background in data modeling and relational databases.