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

Apply Now

Data Architect

Warwick
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Senior BI Data Engineer

Technical Architect - Data Science

Lead Data & Machine Learning Architect

Lead Data & Machine Learning Architect

Senior Data Engineer

Job Title: SAP Data Architect

Location: Warwick (2 days a week on site)

Remuneration: Up to £800 per day

Contract Details: 12 Month Contract + Extensions

Responsibilities:

Dive into complex datasets to uncover trends, patterns, and actionable insights.
Capture and maintain robust data models that align with business needs.
Investigate and resolve data-related issues and discrepancies like a pro.
Map data flows across diverse systems and processes with precision.
Contribute to the creation and execution of analytics and reporting strategies.
Prepare the data architecture for the exciting evolution of AI integration.
Collaborate seamlessly with cross-functional teams to ensure data integrity and consistency.
Provide technical guidance and support to fellow team members, fostering a collaborative environment.

Qualifications and Experience:

Proven experience as an SAP Data Architect or in a similar role.
Extensive experience with S/4 HANA is a must!
Strong background in utilities, finance, procurement, or HR preferred.
Proficiency in data modelling, data analysis, and data mapping.
Experience with analytics and reporting tools is essential.
Knowledge of AI and machine learning concepts? That's a bonus!
Excellent problem-solving skills and an eye for detail.
Strong communication and collaboration skills to work effectively in a team.

Preferred Skills:

Experience with SAP BW/4HANA, SAP Analytics Cloud, or similar tools is advantageous.
Familiarity with data governance and data quality management practises.
Understanding of cloud-based data solutions and architectures will set you apart!

Join our client's dynamic team and make a difference in the world of data! If you're a passionate SAP Data Architect ready to tackle exciting challenges in the utilities, finance, procurement, or HR sectors, we want to hear from you!

Apply today and step into a role where your expertise will shine and your contributions will be valued!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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 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.

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.