Principal Data Engineer – Contract

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Serve as a reliable technical advisor throughout client engagements.

• Establish robust relationships with senior stakeholders, delivery leads, and engineering teams.

• Convert intricate technical concepts into understandable business value and delivery results.

• Assist clients in technical decision-making, platform strategy, and roadmap development.

• Oversee the design and execution of enterprise-scale Databricks solutions and contemporary data platforms.

• Provide architectural guidance for cloud-native data engineering projects.

• Set engineering standards, best practices, and scalable delivery methods.

• Enhance platform optimization, resilience, and performance improvements.

• Manage technical delivery across various client engagements in a consultancy setting.

• Collaborate closely with cross-functional teams, including Data Engineers, Architects, Product Owners, and client stakeholders.

• Aid in project planning, technical governance, and execution of delivery.

• Ensure the development of high-quality, scalable, and maintainable engineering solutions.

• Mentor and support engineering teams in modern data engineering methodologies.

• Lead technical problem-solving and incident resolution when necessary.

• Promote the adoption of engineering best practices, automation, and DevOps principles.

⛳️ Requirements

• Demonstrated experience as a Principal Data Engineer, Lead Data Engineer, or Data Architect in enterprise settings.

• Strong consultancy and client-facing expertise, preferably across various customer interactions.

• In-depth knowledge of Databricks, including architecture, optimization, and leading delivery teams.

• Significant experience in designing and implementing cloud-native data platforms in Azure and/or AWS environments.

• Advanced proficiency in PySpark, SparkSQL, and large-scale distributed data processing.

• Solid understanding of modern data architecture, ETL/ELT frameworks, and data modeling.

• Excellent SQL abilities and experience handling large-scale datasets.

• Strong grasp of data governance, security, and platform reliability principles.

• Exceptional communication, stakeholder management, and consulting skills.

• Capability to operate confidently in dynamic, delivery-oriented environments.

🏝️ Benefits

• Opportunity to engage in complex, high-impact client programs.

• Exposure to enterprise-scale Data & AI transformation projects.

• Flexible remote-first working model tailored to client needs.

• Access to AWS & Databricks partner training and certification opportunities.

• A collaborative culture that emphasizes technical excellence and innovation.

• Chance to shape engineering standards, delivery capabilities, and client success across Colibri Digital.