Oracle Cloud Integration and Data Architect

Deerfoot Recruitment Solutions Limited
City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Data Engineer

Senior Data Scientist II

Senior Data Scientist II

Data Analyst Senior Consultant, Assistant Manager, Manager - Advisory Consulting

Graduate Data Engineer

Data Analyst

Oracle Cloud Integration and Data Architect£85k base, with a 5% bonus and benefitsRemote / Hybrid - can be based anywhere in the UK with occasional travel to local offices or client sites. About the RoleAre you an experienced Oracle integration and data architect looking to drive innovation and deliver cutting-edge IT solutions? We are seeking a talented professional to join our clients team of highly skilled consultants, working on large-scale Oracle SaaS, PaaS, and IaaS implementations. This role involves leading the design and implementation of Oracle cloud solutions, with a focus on API/Microservice/Front-end architecture and complex data migration projects.Key ResponsibilitiesLead Architect: Design and implement PaaS solutions, focusing on Oracle SaaS/PaaS/IaaS and data migration.Pre-Sales Support: Articulate the benefits of Oracle PaaS and IaaS portfolios to clients.Collaboration: Work with teams to develop a pipeline of PaaS business initiatives, whether standalone or as part of broader Oracle-centric offerings.Innovation: Stay updated on Oracle technology trends and incorporate them into solution frameworks.Client Engagement: Build strong client relationships and deliver customer-centric value.Skills and ExperienceSC Cleared or willing and eligible to undertake security clearance.Proven experience in leading and implementing large-scale Oracle PaaS solutions.In-depth architectural knowledge across the Oracle PaaS portfolio, including Oracle Integration Cloud and Oracle OCI Services (e.g., functions, API Gateway, Events).Experience in data migration planning, strategy, and ETL tooling (e.g., Oracle Data Integrator).Knowledge of Oracle SaaS solutions and implementation of Oracle eBusiness Suite and/or SOA.Expertise in cloud-native architecture, including APIs, microservices, DevOps, and CI/CD pipelines.Strong communication skills with experience in distributed delivery (off-shore/on-shore).Ability to identify and develop new business opportunities while building productive client relationships.Passion for new Oracle PaaS technologies and products.SC Cleared or willing and eligible to undertake security clearance.Deerfoot Recruitment Solutions Ltd is one of the longest-established independent technology recruitment consultancies in the UK. We are trusted by many leading employers and help individuals secure interesting and fulfilling roles. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity.Deerfoot is acting as an employment agency for permanent hires and an employment business for contract/contingency hires.Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation ((phone number removed)). Deerfoot is also climate-positive in partnership with Ecologi.If this role isn't the right fit for you, we have a fantastic candidate referral reward program in place. We offer payouts at both interview and placement milestones. For further details, please visit our website.If this role isn't the right fit for you, we have a fantastic candidate referral reward program in place. We offer payouts at both interview and placement milestones. For further details, please visit our website.Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.