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

Apply Now

Senior Data Engineering Consultant

Metrica Recruitment
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Data Engineering Consultant - £60,000 - Hybrid

Senior Data Scientist, Payments Foundation Models

Senior Data Scientist, Payments Foundation Models

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

(INV) Senior Consultant, Data Engineer, AI&Data, UKI

Elevate Your Data Strategy

Our client, a global leader in the technology and consulting industry, is seeking a visionary senior data engineering consultant to drive their digital transformation. This is a pivotal role in shaping the future of the business through data-driven innovation.


The Challenge:

Architect and implement a world-class data platform to support business growth and competitive advantage.


Lead complex data initiatives, delivering measurable business impact.
Build a high-performing data team capable of executing ambitious data strategies

The Opportunity:


This is an exceptional opportunity to join a forward-thinking organisation at the forefront of data-driven innovation. You will be instrumental in shaping our data strategy and delivering transformative solutions that drive business growth.


Expect to:

Lead complex, high-impact data initiatives that deliver tangible results.


Collaborate with industry luminaries to push the boundaries of data science and analytics.
Accelerate your career through exposure to cutting-edge technologies and challenges.
Enjoy a stimulating work environment fostering innovation and professional development.

About You: 

Strategic Vision: A proven ability to architect and implement data strategies aligned with broader business objectives.


Leadership Excellence: Demonstrated success in leading and mentoring high-performing data teams.
Technical Depth: Extensive experience with advanced data technologies and engineering practices.
Business Acumen: A strong understanding of business drivers and the ability to translate data insights into actionable strategies.
Proven Impact: A history of delivering measurable business value through data-driven initiatives.

Specific Qualifications Include:

Experience leading large-scale data transformation projects.
Deep expertise in cloud platforms (GCP, AWS, Azure) and modern data architectures (data lakes, data warehouses, data mesh).
Proficiency in advanced data engineering techniques and tools.
Strong communication and interpersonal skills to build relationships with C-suite executives.
A track record of successful stakeholder management and influencing decision-making.

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.

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.

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.

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.