DataOps Engineer

rmg digital

Bath

1 year ago

Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer - Hybrid, AWS & CI/CD

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

Data Engineer — DataOps, Cloud Data Pipelines

Data Engineer - DataOps & Cloud Data Pipelines

Senior Data Engineering & DataOps Leader – Azure

Lead Site Reliability Engineer - DataOps

A growing company is seeking aDataOps Engineerto join their innovative team. Reporting to the Backend Engineering Lead, you'll play a hands-on coding role throughout the software development life cycle, focusing on seamless integrations with core platform services. You'll help develop, deploy, and maintain a cloud-based platform, while supporting the business with client performance reports, recommendation models, and analytics.

Salary:£65,000

Location:Bath - Hybrid

Responsibilities:

Design:Develop code to meet user story requirements and communicate designs, estimates, and risk assessments to the team.
Read, Write, Refactor:Analyze, enhance, and write high-quality code that is future-proof while maintaining functionality.
Review, Test, Debug:Participate in code reviews, write tests to ensure quality, and resolve technical issues.
Deploy:Assist in the design of deployment processes, ensuring reliable movement of work to production.
Improve:Identify and communicate areas for improvement in development and technology practices.
Collaborate:Work with clients to onboard data and provide ongoing support for new features and issues.

Requirements:

Must-have Skills:
Proficiency in Python (OOP and scripting).
Cloud Hosting experience (AWS, Google Cloud, etc.).
Strong problem-solving abilities and communication skills.
Knowledge of Version Control (Git) and CI/CD services (GitHub Actions, CircleCI).
Expertise in ElasticSearch, SQL, React/TypeScript, data science, and analytics tools (Tableau, PowerBI).
Desirable:
Agile development experience (Scrum, SAFE).
AWS Certification (SysOps, Developer, Solutions Architect).
Knowledge of TV and VOD services.

This is an exciting opportunity to contribute to the growth and innovation of a cutting-edge platform. You’ll have the chance to work on diverse projects and make a significant impact within a fast-paced, collaborative environment.

APPLY NOWand be part of the team driving this platform’s success!

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 23, 2026

Education

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

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jan 18, 2026

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.