Principal Data Engineer

Colibri Digital

Greater London

On-site

GBP 110,000 - 170,000

Full time

19 hours ago
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Benefits offered by this job

Remote-first working

Job summary

Colibri Digital is seeking a Principal Data Engineer to bridge complex data architectures with strategic business value. This client-facing role is a high-impact leadership position that ensures resilient, scalable data platforms aligned with long-term business goals.

You will lead multi-year technology roadmaps, drive large-scale data architectures, and own incident management, governance, and risk controls while mentoring teams and promoting data excellence across the organization.

Qualifications

  • Proven experience in a principal engineering role.
  • Extensive experience with cloud data platforms such as Azure or AWS, with a focus on Databricks.

Responsibilities

  • Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals while championing reliability and data quality.
  • Drive the development of complex, large-scale data architectures and multi-year technology roadmaps.
  • Oversee delivery performance, ensuring quality and resilience of data pipelines and managing capacity planning.
  • Lead triage and resolution of platform incidents, owning root-cause prevention and client communication.
  • Implement governance frameworks and compliance controls, acting as lead on risk mitigation.
  • Champion knowledge sharing and establish best practices across communities of practice.

Skills

Principal engineering
Azure/AWS
Databricks
PySpark
SparkSQL
SQL
Data modelling
ETL tools
Data governance
Data security
Stakeholder management
Communication

Tools

Databricks
Apache Spark
SQL tooling

Job description

Skills, Knowledge and Expertise

Department: Services


Location: Remote, UK


Description

As a Principal Data Engineer, you will serve as the bridge between complex technical architecture and strategic business value. This is a high-impact, client-facing leadership role designed for an expert who can navigate deep technical challenges while maintaining a \"customer-first\" mindset. You will be the primary technical authority for our clients, ensuring their data platforms are resilient, scalable, and aligned with their long-term business goals.


Key Responsibilities


  • Customer Excellence & Stakeholder Management: Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals while championing reliability and \"clean data\" for all consumers.

  • Solution Architecture & Tech Strategy: Drive the development of complex, large-scale data architectures and multi-year technology roadmaps, balancing technical innovation with cost efficiency and operational stability.

  • Delivery & Execution: Oversee \"team-of-teams\" delivery performance, ensuring the quality and resilience of high-impact data pipelines while managing capacity planning and team velocity.

  • Incident Management & Resilience: Lead the triage and resolution of critical platform incidents, taking full ownership of root-cause prevention and maintaining transparent communication with clients during recovery.

  • Governance, Risk & Compliance: Implement robust governance frameworks and compliance controls, acting as the authoritative lead on risk mitigation and the primary technical contact for regulatory matters.

  • Knowledge Management & Mentorship: Champion an organisational culture of knowledge sharing, representing the firm at industry events and establishing best practices across communities of practice.

  • Business Strategy: Influence long-term organizational health by driving platform efficiency, managing engineering budgets, and leading strategic hiring and retention initiatives.


Skills, Knowledge and Expertise

Essential:


  • Proven experience in a principal engineering role.

  • Extensive experience with cloud data platforms such as Azure or AWS, with a focus on Databricks.

  • Highly skilled with Pythonic data processing tools such as Pyspark and SparkSQL.

  • Strong understanding of data modelling concepts relational and non-relational databases.

  • Proficiency in SQL and experience with data integration and ETL tools.

  • Excellent knowledge of big data technologies and frameworks.

  • Strong knowledge of data governance and data security best practices.

  • Strong analytical mindset with attention to detail and a consultative approach.

  • Excellent communication and stakeholder management skills.


Benefits


  • Remote-first working with flexibility around client needs.

  • Private health insurance.

  • Projects with global brands & public sector leaders, working on real-world impact.

  • Exclusive access to AWS & Databricks certifications, training, and partner tools.

  • A collaborative culture of technical excellence and continuous learning.

  • A lead role in shaping delivery standards and future Data & Consulting practices within the firm.

  • Competitive salary, bonus structure, and long-term growth opportunities.

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