Data Engineer

Job Description

About the role

We are seeking an experienced Data Engineer to design, build, and optimise a modern data platform across Azure Databricks and Fabric. This role will be instrumental in architecting and developing scalable data solutions using Databricks and Microsoft Fabric, enabling data‑driven decision‑making across the organization. A key responsibility will be mentoring junior and mid‑level Data Engineers.Key Responsibilities
Data Platform Development

• Design and implement robust data pipelines and ETL/ELT workflows using Databricks and Microsoft Fabric
• Architect and maintain lakehouse solutions leveraging Delta Lake and OneLake architectures
• Optimize data processing workflows for performance, cost‑efficiency, and scalability
• Develop and maintain real‑time and batch data integration solutions

Technical Leadership

• Lead the implementation of data architecture standards and best practices
• Mentor junior and mid‑level data engineers on modern data engineering techniques
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements
• Evaluate and recommend new technologies and tools to enhance the data platform

Data Quality & Governance

• Implement data quality frameworks and monitoring solutions
• Establish and enforce data governance policies and security controls
• Ensure compliance with data privacy regulations and organisational standards
• Design and implement data lineage and metadata management solutions

Performance & Optimisation

• Monitor and optimise query performance across Databricks and Fabric environments
• Implement cost optimisation strategies for cloud data infrastructure
• Troubleshoot complex data pipeline issues and implement solutions

Skills & Experience

Education: Bachelor’s degree in engineering, Computer Science, or a related field. Master’s degree or MBA preferred.

Experience:

• 5+ years of experience in data engineering, data analytics, business intelligence, or related data domains.
• 3+ years of experience in a consulting or professional services environment.
• Proven experience in leading data engineering teams and delivering client‑focused solutions.

Are you interested in this position?

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