National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Oracle Data integration Technical Consultant

Rittman Mead
Hove
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Consultant

Senior Data Engineers

Lead Oracle Data Engineer (City of London)

Lead Oracle Data Engineer

Lead Oracle Data Engineer

Lead Oracle Data Engineer

Rittman Mead is looking to add to their data engineering team. We’re looking for someone with a mix of software engineering skills and experience in working with or moving large quantities of data between systems.

Rittman Mead is a UK based data and analytics consultancy that helps organisations to make better decisions and meet goals using data in and around them.

We use our skill, experience and know-how to allow organisations first to understand their data and then enable business users, consumers, data providers and IT to work towards a common goal of delivering innovative and cost-effective solutions based on our core values of thought leadership, hard work and honesty.

We work across multiple verticals on projects that range from mature, large scale implementations to proofs of concept and can provide skills in development, architecture, delivery, training and support.

ETL OR DATA INTEGRATION EXPERIENCE

Candidate must have experience of writing code or using ETL tools like ODI and Informatica to extract or acquire data, transform it and load it to another system or data store. Must be able to discuss and demonstrate why data integration is hard.

PROGRAMMING EXPERIENCE

Candidate must have thorough experience using SQL; a working knowledge of a common programming language such as Python, Java, Scala or C++; and understand the principles of software development lifecycle. Candidate should be able to talk through one or more projects they have worked on using these skills. Must be able to discuss and demonstrate why rigour is key to any software development.

ADDITIONAL SKILLS

Any hands-on experience of streaming technology such as Kafka is an advantage as we are seeing more work in this area.

COMMUNICATION

Communication is a vital part of the role. The candidate must be able to listen, demonstrate understanding and get ideas and concepts across to others.

CORE SKILLS

We are looking for:

curiosity taste/discernment integrity hard work

You should not be afraid of:

travel working on your own defending a point of view speaking in public
National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.