Senior Data Engineer

Reference: 12478_1779707825

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.

€500.00 - €600.00
Per day
EUR500 - EUR600 per day
Added 25/05/2026
Reference: 12478_1779707825

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