Principal Data Engineer – Contract

Job not on LinkedIn

🕒 May 22

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Logo of Nasstar

Nasstar

1001 - 5000 employees

🏢 Enterprise

📡 Telecommunications

Cloud Computing • Enterprise • Telecommunications

Nasstar is a cloud service specialist that designs, implements, and manages multi-cloud solutions, innovative communication tools, and high-performance networking. With a strong global presence, Nasstar supports customers across various industries by offering a comprehensive suite of cloud services. The company has undergone several strategic acquisitions and rebranding efforts to enhance its capabilities, such as the acquisitions of Modality, Outsourcery, and others. Nasstar is committed to evolving with the rapidly changing tech industry and values enthusiastic individuals who are driven and passionate about making a difference.

📋 Description

• Act as a trusted technical advisor across client engagements. • Build strong relationships with senior stakeholders, delivery leads and engineering teams. • Translate complex technical concepts into clear business value and delivery outcomes. • Support clients through technical decision-making, platform strategy and roadmap planning. • Lead the design and implementation of enterprise-scale Databricks solutions and modern data platforms. • Provide architectural leadership across cloud-native data engineering initiatives. • Define engineering standards, best practices and scalable delivery approaches. • Drive platform optimisation, resilience and performance improvements. • Lead technical delivery across multiple client engagements within a consultancy environment. • Work closely with cross-functional teams including Data Engineers, Architects, Product Owners and client stakeholders. • Support project planning, technical governance and delivery execution. • Ensure high-quality, scalable and maintainable engineering solutions. • Mentor and guide engineering teams across modern data engineering practices. • Lead technical problem-solving and incident resolution where required. • Drive adoption of engineering best practices, automation and DevOps principles.

🎯 Requirements

• Proven experience operating as a Principal Data Engineer, Lead Data Engineer or Data Architect within enterprise environments. • Strong consultancy and client-facing experience, ideally across multiple customer engagements. • Deep expertise in Databricks, including architecture, optimisation and leading delivery teams. • Strong experience designing and delivering cloud-native data platforms within Azure and/or AWS environments. • Advanced experience with PySpark, SparkSQL and large-scale distributed data processing. • Strong understanding of modern data architecture, ETL/ELT frameworks and data modelling. • Excellent SQL skills and experience working with large-scale datasets. • Strong understanding of data governance, security and platform reliability principles. • Excellent communication, stakeholder management and consulting skills. • Ability to operate confidently in fast-paced, delivery-focused environments

🏖️ Benefits

• Opportunity to work on complex, high-impact client programmes. • Exposure to enterprise-scale Data & AI transformation initiatives. • Flexible remote-first working model aligned to client requirements. • Access to AWS & Databricks partner training and certifications. • Collaborative culture focused on technical excellence and innovation. • Opportunity to influence engineering standards, delivery capability and client success across Colibri Digital.

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