Oracle Cloud Integration and Data Architect

83zero
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Analyst

Data Analyst

Data Analyst

Senior Data Engineer

AWS Data Engineer

Oracle Cloud Integration and Data Architect


Salary:£75,000 - £85,000 – Bonus + Pension + Private Healthcare

Location:London / UK Wide Location – Hybrid working


* To be successfully appointed to this role, you must be eligible forSecurity Check (SC) clearance.


The Client:

83zero is proud to be partnered with a global leader in digital services, driving innovation in customer experience through CRM, marketing, business intelligence, and cloud solutions. Their cutting-edge technologies are tailored for enterprise clients, delivering platforms that not only meet today's business needs but also pave the way for future growth. These solutions empower digital transformation initiatives, unlock new business opportunities, and make customer relationship operations more relevant in today’s evolving landscape.


Hybrid Working: Your work locations will vary based on your role, business needs, and personal preferences. This will include a mix of office-based work, client sites, and home working, with the understanding that 100% home working is not an option.


Your Role

  • You will operate as a lead architect on the adoption, design and implementation of PaaS solutions with a particular focus on large scale Oracle SaaS/PaaS/IaaS implementations and API/Microservice/Front-end architecture. You may operate as a lead data architect for our complex data migration projects.
  • You will provide pre-Sales support by articulating the architectural significance and benefits of the Oracle PaaS and IaaS portfolio. Become a key contributor and advocate of oracle-focused tools and methodology and drive a cloud-native approach in building our technology solutions.
  • You will have the opportunity to work with wider global teams to develop a pipeline of PaaS business as either a standalone initiative or as part of wider Oracle-centric offerings. You may also be responsible for communicating an implementation approach and design methodology to an offshore development team as well as leading globally distributed teams.
  • You will stay up to date with market new Oracle trends in technologies & solutions and incorporate them (when/if applicable) into our solution frameworks and architectural designs. Build strong rapport with our clients and drive forward customer-centric value delivery.


Your Skills and Experience

  • Experience and a proven track record of leading and implementing large scale Oracle PaaS solutions with architectural knowledge and understanding across the full Oracle PaaS portfolio. (Oracle Integration Cloud, Oracle OCI Services (e.g functions, API Gateway, Events, etc)
  • Experience of data migration delivery, planning and strategy along with associated ETL tooling (E.g Oracle Data Integrator)
  • Knowledge and experience in the delivery of Oracle SaaS solutions
  • Knowledge and experience in implementation of Oracle eBusiness Suite and/or SOA
  • Experience of cloud-native architectural design, incorporating APIs & Microservices, DevOps and robust CI/CD pipelines where applicable
  • Strong communication skills and experience with distributed delivery (off-shore/on-shore project delivery)
  • Ability to build productive client relationships and identify & develop opportunities for new business
  • Passion and a genuine interest for new Oracle PaaS based technologies and products


To apply please click the “Apply” button and follow the instructions.


For a further discussion, please contactCaitlin Earnshawon

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.