MCS Group
Data Engineer
A 4-month contract (extendable) Data Engineer role in Dublin city centre, hybrid with 2 days onsite per week. The contractor builds and maintains ETL/ELT data pipelines using Python, SQL, Azure Databricks, Azure Data Factory and Delta Lake to support analytics, reporting and business decision-making.
- Compensation
- Not disclosed
- Location
- Leinster, Ireland
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
- Understanding of relational and dimensional data modelling
- Strong problem-solving and communication skills
Nice to have
- Experience with PySpark, Databricks, Delta Lake, Azure Data Factory or Power BI
Full description
Data Engineer | Day Rate Contract
Dublin City Centre | 2 days onsite per week4-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.