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Contract Principal Data Engineer

Nasstar

Responsibilities

Client Engagement & Stakeholder Management

  • Act as a trusted technical advisor across client engagements.
  • Build strong relationships with senior stakeholders, delivery leads and
  • outcomes.
  • Support clients through technical decision-making, platform strategy and
  • roadmap planning.
  • Databricks Leadership & Solution Architecture
  • Lead the design and implementation of enterprise-scale Databricks solutions and modern data platforms.

Provide architectural leadership across cloud-native data engineering

  • Define engineering standards, best practices and scalable delivery approaches.
  • Drive platform optimisation, resilience and performance improvements.
  • 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

Key Responsibilities

  • engineering teams.
  • Translate complex technical concepts into clear business value and delivery initiatives.

Delivery & Consultancy

  • Lead technical delivery across multiple client engagements within a consultancy environment.
  • Technical Leadership principles.

Skills, Knowledge and Expertise

  • 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.