About the Role
Our client is a global data and artificial intelligence (AI) organisation that partners with leading businesses to transform operations, enhance decision-making, and drive growth through advanced analytics and digital solutions.
With a large international presence and a strong reputation across industries such as financial services, healthcare, retail, and insurance, the organisation delivers innovative, data-driven solutions at scale.
Role Title: Databricks Data Engineer
Location: Dublin, Republic of Ireland (Hybrid)
Employment Type: Contract
Role Overview
We are seeking a hands-on Databricks Data Engineer to support a major data transformation programme focused on automating reporting and dashboard solutions.
This is a delivery-focused role where you will work with structured and unstructured data to build and maintain scalable data pipelines within a modern cloud-based platform using Databricks medallion architecture.
You will collaborate closely with data architects and business stakeholders to develop high-quality, reliable data engineering solutions.
Key Responsibilities
Data Pipeline Development
- Design, build, and maintain data ingestion and transformation pipelines using Databricks
- Work across both structured and unstructured data sources
Medallion Architecture Implementation
- Develop pipelines across Bronze, Silver, and Gold layers
- Ensure data is optimised for analytics and reporting
Data Integration & Processing
- Deliver batch and streaming pipelines using Databricks, Spark, and Azure Data Factory (or similar tools)
Stakeholder Collaboration
- Work with architects and business stakeholders to translate requirements into scalable solutions
Data Quality & Validation
- Implement checks, validation rules, and monitoring to ensure data accuracy
Performance Optimisation
- Improve pipeline performance, scalability, and cost-efficiency
Governance & Standards
- Follow data governance, lineage, and metadata best practices
Testing & Deployment
- Support testing, release, and production deployment of solutions
Documentation
- Maintain clear and structured technical documentation
Continuous Improvement
- Stay up to date with modern data engineering practices and tools
Required Experience & Qualifications
Education & Experience
- Bachelor's degree in IT, Computer Science, or related field
- 3-6 years' experience in data engineering or similar roles
Technical Skills
- Hands-on experience with Databricks and Spark
- Experience building ETL/ELT pipelines (ADF or similar tools)
- Strong database experience (e.g., SQL Server, PostgreSQL, Oracle, Synapse)
- Exposure to cloud platforms (Azure preferred)
Additional Knowledge
- Understanding of BI tools such as Power BI or Tableau
- Experience in financial services or regulated environments is beneficial
Key Skills & Attributes
- Strong delivery focus with hands-on technical capability
- Problem-solving mindset with ability to troubleshoot pipelines
- Strong collaboration and communication skills
- High attention to detail, especially around data quality
- Eagerness to learn and develop new skills
GCS is acting as an Employment Business in relation to this vacancy.
Senior Data Engineer
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