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

Apply Now

Senior Data Engineer - Snowflake & Matillion

iO Associates - UK/EU
London
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Title: Senior Data Consultant (Snowflake & Matillion)

Rate: Up to £475 Per Day Outside IR35

Location: Remote

Are you a Senior Data Consultant looking for your next challenge?

We are working with a rapidly growing, industry-leading consultancy to find ambitious data experts who can combine deep technical knowledge with strategic leadership.

This is an exciting opportunity to work on enterprise-scale cloud data projects, drive business impact, and influence major decisions while mentoring and leading teams. If you thrive on solving complex challenges and building strong client relationships, this role is for you!

What You'll Be Doing:

  • Leading the design and delivery of cutting-edge data solutions, ensuring alignment with business goals.
  • Acting as a trusted advisor to senior stakeholders, influencing key business decisions.
  • Driving solution architecture, project planning, and business development opportunities.
  • Managing and mentoring teams, fostering a culture of excellence.
  • Contributing to thought leadership, internal initiatives, and best practice frameworks.
  • Identifying new opportunities to expand the company's offerings.
  • Representing the business at client meetings, industry events, and marketing initiatives.

What You'll Need to Succeed:

  • Strong expertise in cloud analytics, data warehousing, and modern data architectures(Snowflake & Matillion)
  • Proven ability to engage and influence senior stakeholders.
  • Consulting experience, with a track record of delivering successful, high-impact data projects.
  • Leadership and team management skills, with the ability to guide multiple teams or large-scale projects.
  • A problem-solving mindset, balancing priorities and ensuring smooth project execution.
  • Passion for innovation and best practices within data strategy.

Our client has a 1- stage interview process and will interview this week!

If you're interested in this role or know someone who would be, then please apply a. methula@io associates. Co. uk

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.