DevOps Engineer

Airswift
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer – SC Cleared - AWS - Inside IR35

Data Engineer – AWS – SC Cleared

Data Engineer (Automation)

Machine Learning Engineer

Data Engineer

Data Engineer

Position: DevOps Engineer – Global Marketing Data Platform

Contract: 1 Year

Location: London, 3 days onsite per week


We are looking for a skilled DevOps Engineer to join a global project focused on building a centralized Master Data repository for client profiles and marketing preferences. This project aims to consolidate data from multiple sources, manage master data, and serve as the authoritative source for marketing consent distributed across various platforms.


Project Summary

This initiative will create a central repository for client profiles and consent management, integrate data from multiple upstream sources, and deliver it through bulk or API to downstream marketing platforms. The core technologies includeClouderawith Hue, Hive, HDFS, and Spark, along withTerraformand other DevOps tools.


Key Responsibilities

  • Develop and maintain Infrastructure as Code (IaC) solutions and CI/CD pipelines using Terraform, GitLab, and other DevOps tools.
  • Manage data flows within the Cloudera platform, ensuring efficient data handling through Hue, Hive, HDFS, and Spark.


Essential Skills

  • DevOps expertisein IaC and CI/CD pipelines using Team City, Jenkins, GitLab, and Terraform.
  • Microsoft AzurePaaS, Azure DevOps, and Vault experience (AKS is a plus).
  • Proficiency withShell/Powershell scriptingand experience with Terraform.
  • Background in Spark, DataBricks, or other Big Data tools.
  • Experience with the Cloudera platform (Hue, Hive, HDFS, Spark).
  • Ability to architect cloud-based applications with a focus on PaaS services.
  • Familiarity with customer data management, personalization, and consent management.


Additional Qualifications

  • Development background with languages such as Java, C#, or JavaScript is beneficial.
  • Strong problem-solving and analytical skills, with an ability to tackle complex challenges.
  • Excellent communication skills and the ability to work effectively with internal clients and cross-functional teams.


If you are a DevOps Engineer with a passion for data and are ready to make an impact on a high-visibility project, apply today. This is a unique opportunity to shape a global marketing data platform and work with cutting-edge technology in a collaborative environment.

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.