Data Engineer

MCS Group; Leinster; On-site; EUR 65,000 - 101,000; Full time

Job summary

MCS Group is seeking a Data Engineer for a 4-month day-rate contract in Dublin City Centre, with an expectation of 2 days onsite per week. The role focuses on building and maintaining reliable data pipelines to support analytics, reporting, and business decisions.

You will collaborate with senior engineers, architects and analysts on a modern cloud data platform, primarily using Azure Databricks, Azure Data Factory and Delta Lake, plus Python and SQL for ETL/ELT work.

Qualifications

• 3-6 years' hands-on experience in data engineering or ETL/ELT.
• Strong SQL and Python skills.
• Experience building and supporting production data pipelines.
• Experience with cloud data services, ideally Azure.
• Familiarity with Git and team development workflows.
• Understanding of relational and dimensional data modelling.
• Experience with PySpark, Databricks, Delta Lake, Azure Data Factory or Power BI is beneficial.

Responsibilities

• Build ETL/ELT pipelines using Python, SQL and cloud tooling.
• Integrate data from databases, REST APIs and files.
• Develop workloads using Azure Databricks, Azure Data Factory and Delta Lake.
• Implement data validation, logging and error handling.
• Troubleshoot pipeline failures and improve data quality.
• Support testing, deployment and technical documentation.

Skills

SQL

Python

Data pipelines

Problem-solving & communication

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Git

Power BI

Job description

Data Engineer | Day Rate Contract

Dublin City Centre | 2 days onsite per week
4-month contract (Potential for Extension)

We're recruiting a Data Engineer to build and maintain reliable data pipelines supporting analytics, reporting and business decision-making.

You'll work with senior engineers, architects and analysts across a modern cloud data platform.

What you'll be doing

• Building ETL/ELT pipelines using Python, SQL and cloud tooling.
• Integrating data from databases, REST APIs and files.
• Developing workloads using Azure Databricks, Azure Data Factory and Delta Lake.
• Implementing data validation, logging and error handling.
• Troubleshooting pipeline failures and improving data quality.
• Supporting testing, deployment and technical documentation.

What we're looking for

• 3-6 years' hands-on experience in data engineering, ETL/ELT or a similar role.
• Strong practical SQL and Python skills.
• Experience building and supporting production data pipelines.
• Working knowledge of cloud data services, ideally Azure.
• Familiarity with Git, code reviews and team development workflows.
• An understanding of relational and dimensional data modelling.
• Strong problem-solving and communication skills.

Experience with PySpark, Databricks, Delta Lake, Azure Data Factory or Power BI would be beneficial.