Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Oracle Data integration Technical Consultant

Rittman Mead
Hove
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior Data Scientist

Senior Data Scientist

Operational Data Engineer

Data Engineer

Senior Data Engineer - Central Services

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

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 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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.