Azure Data Engineer

83zero Limited
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer

Azure Data Engineer / BI Developer

Azure Data Engineering Lead (Investment Platform) - £170k

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 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.