Contract Principal Data Engineer
London, UK, Remote, UK
- Pay
- Salary not listed in the saved posting
- Work setup
Remote stated — work setup source
Listed location: London, UK, Remote, UK
Read the full posting- Employment
Contract — employment source
Employment type Contract
Read the full posting
What you’ll work on
Full postingYou will work directly with senior client stakeholders, delivery teams and architects to design and deliver scalable modern data platforms.
Build strong relationships with senior stakeholders, delivery leads and engineering teams.
Lead the design and implementation of enterprise-scale Databricks solutions and modern data platforms.
From the employer’s posting
We are looking for an experienced Principal Data Engineer to join us on a contract 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.
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.
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 initiatives.
Tools in this posting
- SQL
- AWS
- Databricks
- PySpark
- Azure
Source — Tool mentions in context
- 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.
- 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.
- 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.
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.
- 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.
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 initiatives.
- 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.
- 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.
Job description
We are looking for an experienced Principal Data Engineer to join us on a contract
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.
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
Client Engagement & Stakeholder Management
- 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.
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
initiatives. - Define engineering standards, best practices and scalable delivery approaches.
- Drive platform optimisation, resilience and performance improvements.
Delivery & Consultancy
- 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.
Technical Leadership
- 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.
Employment type
Contract
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
London, UK, Remote, UK
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 50
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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