National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineering Manager / London / Consultancy

JR United Kingdom
City of London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Risk Reporting Data Engineering Lead

Data Engineer Associate Manager

Data Engineer Associate Manager

Data Engineer Associate Manager

Data Engineer Associate Manager

Data Engineer Associate Manager

Social network you want to login/join with:
Data Engineering Manager / London / Consultancy, london (city of london) col-narrow-left
Client: Opus Recruitment Solutions
Location: london (city of london), United Kingdom
Job Category: Other
-
EU work permit required: Yes
col-narrow-right
Job Views: 3
Posted: 16.06.2025
Expiry Date: 31.07.2025
col-wide
Job Description: Are you a passionate Data Engineering Manager ready to unlock the power of data? Our client is a leading UK-based consultancy seeking a skilled professional to shape data strategies, mentor dynamic teams, and deliver cutting-edge solutions. With hands-on expertise in Spark, SQL, and cloud platforms like Azure, you’ll lead end-to-end projects, drive innovation, and collaborate with clients across industries.
What You’ll Do:
Lead complex data engineering solutions with technical excellence.
Mentor teams and foster a culture of growth and quality.
Showcase your expertise in pre-sales and client workshops.
Design data pipelines, lakes, and warehouses with best practices.
Skills They're Looking For:
Proven Data Engineering experience (5+ years).
Experience working in consultancies.
Leadership and multi-project environments experience.
Expertise in ETL, data modelling, and Azure Data Services.
Hands-on experience with Spark and Microsoft Fabric
Any certifications are a bonus.
Hybrid work once a week into their Central London office
Learning and Development budget towards certifications and exams
Life insurance
Private medical health insurance
And much more!
Ready to make an impact? Submit your CV showcasing your experience and UK work eligibility (no sponsorship available). We’re an equal opportunity employer celebrating diversity—join us! ?

#J-18808-Ljbffr

National AI Awards 2025

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 Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.