Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Consultant

Harnham
London
17 hours ago
Create job alert

Data Engineering Consultant

Salary: £45,000 - £55,000

Location: London (4 Days a Week in Office)

Work on the front lines of innovation, embedding next-gen platforms directly into the operations of world-class organisations. Your engineering will become the competitive edge others can't replicate.

The Opportunity

This role offers the chance to work at the frontier of technology and real-world operations, embedding advanced data and AI systems directly into major industrial organisations. You'll operate as a problem-solver and builder, transforming complex business challenges into scalable, high-impact solutions. The position sits within a rapidly growing, category-defining startup where engineering excellence directly drives customer success.

You'll collaborate closely with an elite, interdisciplinary team while gaining exposure to cutting-edge platforms, generative AI workflows, and large-scale data integration. It's an opportunity to shape transformative systems that deliver meaningful, measurable outcomes across global enterprises.

Role and Responsibilities

This role centers on working directly with customers to deploy and tailor a powerful data and AI platform to solve their most complex operational challenges. You'll design and implement scalable generative AI workflows, often using technologies like Palantir AIP, while building robust data pipelines with PySpark, Python, and SQL. A key responsibility is executing sophisticated data integrations across distributed systems and enterprise environments, including ERPs and CRMs.

You'll collaborate closely with client stakeholders to translate ambiguous requirements into clean, maintainable solutions that drive real impact. Familiarity with tools such as Airflow, DBT, Databricks, dashboarding frameworks, and Typescript is a strong plus as you help deliver end-to-end production-ready systems.

Interview Process

  1. Teams conversation (introductory chat)
  2. Technical take home exercise
  3. Presentation (In-Person)
  4. Conversation with the CTO

Step into a role where your engineering drives real-world impact and shape the future of enterprise technology-apply today.

Related Jobs

View all jobs

Data Engineering Consultant - £50,000 - Hybrid

Data Engineering Consultant

Data Engineering Consultant

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Engineering Consultant

Senior Data Engineering Consultant — Shape Data Platforms

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.