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

Apply Now

Senior Data Engineer

Datatech Analytics
City of London
2 weeks 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

Senior Data Engineer

Location: London, hybrid - Monday to Wednesday in the office


Salary: £65,000 to £75,000 depending on experience


Job Reference: J13026


An AI first SaaS company is searching for a Senior Data Engineer to help scale its growing data and AI platform. They turn complex first party data into clean, reliable and high value insights that power real decisions for clients across multiple sectors. With strong growth underway, they are expanding the team and want someone who thrives on building, automating and productionising data and machine learning pipelines at speed.


The Role

This is a hands on engineering role where you will design cloud native pipelines, refine deployment processes and strengthen the reliability of the entire platform. You will collaborate closely with Delivery Directors, Product Managers, and AI Engineers to support the deployment of production ready models and help the team deliver high performing and trustworthy data products.


You will

  • Build and optimise ETL and ELT pipelines across Azure, AWS, GCP, Snowflake or Databricks
  • Lead CI and CD automation, environment management and production deployments
  • Deliver and maintain workflows that integrate live ML model outputs
  • Create monitoring, alerting and data quality checks that ensure accuracy and trust
  • Mentor engineers and promote a clean, modern engineering culture

Experience Required

  • At least three years of experience in data engineering or cloud platform development
  • Strong SQL and Python
  • Familiarity with DevOps principles and CI and CD tooling
  • Experience deploying and supporting productionised ML models
  • Strong understanding of data modelling, orchestration and workflow tools
  • A proactive mindset with a desire to improve data and platform processes

The Opportunity

  • Shape the data foundations of a next generation AI platform
  • Join a fast paced and highly collaborative engineering environment
  • See the immediate impact of your work across products and clients

If you are excited by ownership, fast paced delivery and the chance to build something meaningful, we want to hear from you!


Please note that sponsorship is not available for this role now or in the future.


#J-18808-Ljbffr

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.