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Principal data engineer

London
Permanent
Mott Macdonald
Data engineer
€85,000 a year
Posted: 8 December
Offer description

Principal Data Engineer

Recruiter contact: Nikki George

Location: London, GB

Mott MacDonald is a global engineering, management, and development consultancy. We’re seeking a Principal Data Engineer to shape and implement our enterprise data architecture, delivering impactful AI and analytics solutions across our global business.


Responsibilities

* Design and implement enterprise data pipelines for structured and unstructured data.
* Lead development of semantic data models and enterprise ontology.
* Provide technical direction and mentoring for a small team of data engineers.
* Build, evolve, and maintain scalable, secure data pipelines, APIs, and infrastructure in a modern cloud environment (Azure preferred).
* Collaborate with stakeholders across business units to gather requirements and communicate architecture decisions.
* Promote robust data management, including lineage, observability, access control, and ethical data use.
* Stay abreast of industry trends in data architecture, engineering, and metadata/semantic technologies.
* Collaborate with other architects to define and implement data architecture patterns.


What You’ll Bring

* Excellent communication and stakeholder engagement skills.
* Experience in data engineering and architecture in complex or regulated environments.
* Expertise in designing scalable data architectures on cloud platforms (Azure preferred).
* Strong experience with data modelling and familiarity with catalogues, knowledge graphs, or ontology tools.
* Proven experience managing or mentoring other data engineers.
* Solid programming skills in Python and SQL; familiarity with Git, CI/CD, Docker, Kubernetes.
* Experience with data pipeline orchestration tools (e.g., Dagster) and modern data stack components.


Why Join Us

* Shape responsible, high‑impact data and AI solutions in infrastructure, engineering, and consulting.
* Work with a mature team focused on improving data engineering within the organisation.
* Lead and mentor within a collaborative, fast‑growing team.
* Gain exposure to diverse, meaningful projects with social and environmental value.


Benefits

* Private medical insurance and health cash plan.
* Life assurance up to 4× basic salary, with options to increase.
* Flexible benefits: pension contributions, critical illness insurance, payroll savings.
* Minimum 33–35 days holiday per year, increasing with tenure.
* Learning & development support: professional subscriptions, training, mentoring.
* Inclusive workplace with employee networks and social impact programmes.
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