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

Apply Now

Snowflake Data Engineer Contract

Harnham - Data & Analytics Recruitment
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer, London

Senior BI Data Engineer

AWS Data Engineer

SC cleared - Azure Data Engineer

SC cleared - Azure Data Engineer

SC cleared - Azure Data Engineer

I am working with a client who is looking for a Data Engineer to take ownership of all things data for their HR team. This role is essential in building and maintaining data stores, automation, and stream consumers, enabling Data Scientists and Analysts to develop effective algorithms, processes, and reports. As a bridge between software engineering and data science, you'll work within the tech team to develop scalable solutions that meet business needs.

Please apply if the below apply and look interesting to you, but only if you're very strong in Snowflake.

Key Responsibilities

  • Design, build, and optimize ETL/ELT workflows in Snowflake for HR data.
  • Develop applications to consume and transform HR production data streams (Kafka) for analytical and ML use.
  • Architect and maintain cloud-based data stores (AWS Redshift, Snowflake).
  • Automate model training, evaluation, and deployment pipelines.
  • Work closely with cross-functional teams to gather requirements and deliver data-driven solutions.

Your Experience & Skills

  • Strong experience with Python or similar languages (e.g., R).
  • Hands-on experience with SQL databases (PostgreSQL preferred).
  • Experience with Snowflake & AWS services (S3, SageMaker, RDS, EC2).
  • Proficiency with CI/CD tools (AWS CodePipeline, GitHub Actions).
  • Experience with Infrastructure as Code tools (Ter...

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.