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

Apply Now

Solutions Architect - d365 CE, CRM, .Net, C#, Azure, Power Apps, TOGAF, Agile

Farringdon
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineering Consultant - Home-based - £40-55k

Data Engineer

GCP Data Engineer - part-time

Principal Data Engineer/Architect

Solutions Architect - d365 CE, CRM, .Net, C#, Azure, Power Apps, TOGAF, Agile

Xpertise are urgently looking for several Solutions Architects (d365 CE, CRM, .Net, C#, Azure, Power Apps, TOGAF, Agile) due to ongoing demand.

Candidates will have the following skills and experience:

Proven experience as a Solutions Architect in Microsoft Dynamics 365/d365 CE
Proven implementation experience on large-scale programmes including field services and customer services
Proven experience of full life cycle Microsoft Dynamics 365/d365 CE implementations (including previous versions)
Proven experience of leading large-scale systems integration programmes
Proven experience of MVC, Entity Framework and Enteprise Library
Proven experience working in Agile environments ideally Agile Certified
A strong working knowledge of SQL Server 2008 and SSRS
Strong .NET and C# experience across WCF and Web API environments
TOGAF Certified
Microsoft Dynamics 365 CE/CRM Certified
Exceptional working environment available - outstanding culture, career path, benefits and salary.

Please send CVs for more information (Solutions Architect - d365 CE, CRM, .Net, C#, Azure, Power Apps, TOGAF, Agile)

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.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.