Principal Data Engineer

Description

You’ll work closely with cross-disciplinary teams, including data scientists, domain experts, and product managers, to design scalable, secure, and interoperable data systems. You’ll also help establish our enterprise data ontology and lead a small team of data engineers to turn that vision into reality.

• Hands-On engineering: Build, evolve, and maintain scalable, secure data pipelines, APIs, and infrastructure in a modern cloud environment (Azure preferred).
• Innovation&standards: Stay ahead of industry trends in data architecture, engineering, and metadata/semantic technologies—and bring them into practice where they add value.
• Shape our enterprise data engineering practice from the ground up and be a foundational contributor to our overall enterprise data architecture and strategy. This is a great opportunity to have major impact on the business. · Lead and mentor within a collaborative, fast-growing team focused on innovation with purpose.
• Stakeholder collaboration: Partner with technical and non-technical stakeholders across business units to gather requirements, align roadmaps, and communicate architecture decisions effectively.
• Team leadership: Provide technical direction and mentoring for a small team of data engineers, supporting their growth while maintaining delivery velocity.
• Governance&best practices: Promote robust data management, including lineage, observability, access control, and compliance with ethical data use.
• Work alongside a mature team with a strong mandate to improve data engineering within our organisation.
• Enterprise data architecture: Collaborate with other architects to define and implement data architecture patterns across systems and domains to support analytical, AI, and operational use cases.
• Help shape the future of responsible, high-impact data and AI solutions in infrastructure, engineering, and consulting.
• Ontology and data modelling: Lead the development of semantic data models and domain ontologies to enable data interoperability and traceability across the enterprise.
• Enterprise data pipeline design&optimisation: Design and implement robust data pipelines to map both structured and unstructured data from diverse sources into the enterprise vector store, ensuring high-quality embeddings for downstream retrieval and analysis

Requirements

We’re looking for a Principal Data Engineer to play a leading role in shaping and implementing our enterprise data architecture. This position is ideal for someone who combines deep technical expertise with strong stakeholder engagement skills and a strategic mindset. You’ll help define and implement the data foundations that enable impactful AI and analytics solutions across our global engineering, consulting, and infrastructure business.

• Strong experience with data modelling—from conceptual to logical and physical—and familiarity with data catalogues, knowledge graphs, or ontology tools.
• Expertise in designing and implementing scalable data architectures using cloud platforms (Azure preferred).
• Proven experience managing or mentoring other data engineers.
• Excellent communication and stakeholder engagement skills—able to bridge technical detail and strategic business value.
• Experience with data pipeline orchestration tools (e.g., Dagster) and modern data stack components.
• Experience in data engineering and architecture, ideally in complex or regulated enterprise environments.
• Solid programming skills in Python and SQL, and familiarity with tools such as Git, CI/CD workflows, Docker, and Kubernetes.

Benefits

• Gain exposure to diverse, meaningful projects that create long-term social and environmental value.

Training + Development

Interview process

Visa Sponsorship

Security clearance