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

Apply Now

Senior Data Engineer Snowflake SQL Python

Client Server
London
1 week ago
Create job alert

Senior Data Engineer (Snowflake SQL Python) London / WFH to £85k


Are you a skilled data technologist with strong leadership and stakeholder management skills?


You could be progressing your career in a senior, hands-on Data Engineer position at a global tech company that provide data centric software solutions to major blue-chip and government organisations to enable them to discover and analyse data and customer feedback.


As a Senior Data Engineer you will plan and lead data engineering activities across multiple programmes of work to deliver secure, robust and scalable data engineering solutions for complex data analytics products. You'll implement modern data engineering practices, build complex data pipelines and provide guidance to other team members to ensure optimal code performance is achieved, championing best practices.


Beyond this you'll seek to monetise the database, collaborating closely with business leaders.


Location / WFH:

You can work from home most of the time, meeting up with colleagues in the London office 1-2 days a week.


About you:

  • You have experience of building data pipelines on cloud platforms, working with a wide variety of data structures such as Data Warehouses and Data Lakes
  • You have strong Snowflake skills, combined with SQL and Python
  • You have experience of working in Agile development environments, with a good understanding of DevOps practices, CI/CD, Automation
  • You have commercial acumen and can spot opportunities to innovate and improve, keeping up to date with the latest trends
  • You have technical leadership, coaching and mentoring skills with advanced communication and stakeholder management skills
  • Experience with Azure is desirable but not essential


What's in it for you:

As a Senior Data Engineer you'll earn a competitive package:

  • Salary to £85k
  • Bonus
  • Unlimited holiday allowance
  • Flexible working (x1 day a week in London)
  • Private medical insurance as well as well-being benefits
  • Pension and Life Assurance
  • Committees for wellness, charity and volunteering, DE&I
  • Team and company socials


Apply now to find out more about this Senior Data Engineer (Snowflake SQL Python) opportunity.


At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Related Jobs

View all jobs

Senior Snowflake Data Engineer

Snowflake Specialist Data Engineer

Senior Data Engineer (AI/ML Deployment)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.