Consulting Data Engineer

London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Data Engineer (Microsoft Fabric)

Cloud Database Administrator

Data Engineer

Data Engineer – AWS – SC Cleared

Data Engineer

Certain Advantage are recruiting on behalf of our growing London based Data & AI consulting client who specialist in providing best in class support to clients who use Palantir's Foundry, Gotham, and AIP as part of their architecture.

A large proportion of projects involve solving problems in the defence domain, so SC clearance is required, and we can only consider candidates eligible and willing to obtain this.

We're looking for data professionals who get excited about engaging with users to understand and break down complex novel problems, and design and deliver data solutions to solve important problems.

Prior experience in the Palantir AIP, Foundry and Gotham would be advantageous. Previous development experience in PySpark, Typescript and front end frameworks like React would also be advantageous.

As a Consultant Engineer your responsibilities will include

Assist in the design, development, and maintenance of data pipelines and ETL processes to build data and action models to address the workflow needs.
Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends.
Collaborate with team members to implement AI and machine learning models against user problems.
Engage in continuous learning and developmentThis is a permanent position requiring onsite working in London with potential for 1 day remote working per week.

Does this sound like your next career move? Apply today!

Working with Certain Advantage

We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it.

We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.

If this job isn't for you, head to (url removed) and register for job alerts and career guidance tips

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

Data Engineering Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data engineering in your 30s, 40s or 50s? You’re not alone. In the UK, companies of all sizes — from fintechs to government agencies, retailers to healthcare providers — are building data teams to turn vast amounts of information into insight and value. That means demand for data engineering talent remains strong, but there’s a gap between media hype and the real pathways available to mid-career professionals. This guide gives you the straight UK reality check: which data engineering roles are genuinely open to career switchers, what skills employers actually look for, how long retraining really takes and how to position your experience for success.

How to Write a Data Engineering Job Ad That Attracts the Right People

Data engineering is the backbone of modern data-driven organisations. From analytics and machine learning to business intelligence and real-time platforms, data engineers build the pipelines, platforms and infrastructure that make data usable at scale. Yet many employers struggle to attract the right data engineering candidates. Job adverts often generate high application volumes, but few applicants have the practical skills needed to build and maintain production-grade data systems. At the same time, experienced data engineers skip over adverts that feel vague, unrealistic or misaligned with real-world data engineering work. In most cases, the issue is not a shortage of talent — it is the quality and clarity of the job advert. Data engineers are pragmatic, technically rigorous and highly selective. A poorly written job ad signals immature data practices and unclear expectations. A well-written one signals strong engineering culture and serious intent. This guide explains how to write a data engineering job ad that attracts the right people, improves applicant quality and positions your organisation as a credible data employer.