Contract Principal Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 3h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 9d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 3h ago.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote, UK
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay £92.7k–141.5k/yr
Middle 50% of 53 listings that do state pay — Engineering · Senior · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Pinpoint employer's own board first seen 9d ago · last seen 3h ago
The listing
basis, supporting complex client engagements across Data & AI transformation
programmes.
This is a highly client-facing consultancy role, suited to someone who is comfortable
operating at both strategic and hands-on technical levels. You will work directly with
senior client stakeholders, delivery teams and architects to design and deliver
scalable modern data platforms.
We are specifically looking for someone with deep expertise in Databricks, either
operating at Architect level or leading high-performing engineering teams within
enterprise environments.
The successful candidate will bring strong consulting capability, commercial
awareness and stakeholder management skills alongside exceptional technical depth.
Key Responsibilities
- 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.
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.