Colibri Digital
Contract Principal Data Engineer

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Department: Services
Location: Remote, UK
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.
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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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.


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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.
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