Posted on: 30/01/2026
Description :
Job Title : Principal Data Engineer
Experience : 15+ Years
About the Role :
- We are looking for a Principal Data Engineer to lead the design and delivery of scalable data solutions using Azure Data Factory and Azure Databricks. This is a consulting-focused role that requires strong technical expertise, stakeholder engagement, and architectural thinking.
- You will work closely with business, functional, and technical teams to define data strategies, design robust pipelines, and ensure smooth delivery in an Agile environment.
Responsibilities :
- Collaborate with business and technology stakeholders to gather and understand data needs
- Translate functional requirements into scalable and maintainable data architecture
- Design and implement robust data pipelines
- Lead data modelling, transformation, and performance optimisation efforts
- Ensure data quality, validation, and consistency
- Participate in Agile ceremonies, including sprint planning and backlog grooming
- Support CI/CD automation for data pipelines and integration workflows
- Mentor junior engineers and promote best practices in data engineering
Must Have :
- 15+ years of IT experience, with at least 7 years in data architecture roles in modern metadata-driven and cloud-based technologies, bringing a software engineering mindset
- Strong analytical and problem-solving skills - Ability to determine data patterns and perform root cause analysis to resolve production issues
- Excellent communication skills, with experience in leading client-facing discussions
- Strong hands-on experience with Azure Data Factory and Databricks, leveraging custom solutioning and design beyond drag-and-drop capabilities for big data workloads
- Demonstrated proficiency in SQL, Python, and Spark
- Experience with CI/CD pipelines, version control and DevOps tools
- Experience with applying dimensional and Data Vault methodologies
- Background in working with Agile methodologies and sprint-based delivery
- Ability to produce clear and comprehensive technical documentation
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1607782