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

Apply Now

Azure Data Engineer

83zero Limited
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Job Title:Azure Databricks Data Engineer
Location:UK-Wide Offices - Hybrid (Primarily Remote)
Salary:£70,000 to £100,000 (plus Pension, Benefits, and Bonus)

We're looking for a skilled Azure Data Engineers to join our clients team and help us build robust, scalable, and secure data platforms. In this role, you'll work with Databricks, Apache Spark, and Azure technologies to design, develop, and implement data warehouses, lakehouses, and AI/ML models that drive our data-centric initiatives.

What You'll Do

  • Build High-Performance Data Pipelines: Use Databricks and Apache Spark to transform and load data into Azure services.
  • Develop Secure Data Solutions: Create data models, apply quality checks, and implement governance for accuracy and reliability.
  • Integrate AI/ML Models: Build machine learning models in Databricks ML and Azure ML to deliver predictive insights.
  • Optimize Performance: Monitor and enhance pipeline performance for scalability and efficiency.
  • Collaborate Across Teams: Partner with business analysts, data scientists, and DevOps engineers to ensure seamless data solutions.
  • Stay on the Cutting Edge: Keep pace with big data trends and best practices to continuously innovate.

What You'll Need

  • Experience: 3+ years as a Data Engineer or similar.
  • Technical Skills: Expertise in Databricks, Apache Spark, and Azure (Data Lake Storage, Databricks, Azure Data Factory).
  • Programming: Proficient in SQL, Python, or Scala.
  • AI/ML Skills: Familiarity with machine learning tools and techniques.
  • Soft Skills: Strong problem-solving, collaboration, and communication skills.
  • Passion for Data: Enthusiasm for learning and innovation in the data space.

Security Clearance Requirement
This position requires Security Check (SC) clearance, including a minimum of 5 years of continuous UK residency.

For more information, please email or call

ZWxsaXMuZG93ZGVuLjA4MDUyLjEyMjcxQDgzemVyby5hcGxpdHJhay5jb20.gif

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.