Data Solutions Architect

London
11 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer | Senior Consultant

Principal Consultant - Data Engineering Lead (DBT)

Azure Data Engineer

Senior Azure Data Engineer

Data Science & Software Placement Year Student

Graduate Data Engineer

I'm looking for a hands-on, highly skilled Data Solutions Architect to join a global Data & AI Consultancy in London. You will split your time between the London office, your home and client site, depending on requirements.

This exciting role is perfect for an experienced Data Engineer who's progressed to an architectural level and is ready to lead the design and delivery of innovative data solutions for a diverse range of clients.

In this role, you'll be responsible for guiding technical teams in the development of end-to-end data solutions that address complex business challenges, using both on-premises and cloud-based technologies (Azure, AWS, or GCP). You'll design scalable data architectures, including data lakes, lakehouses, and warehouses, leveraging tools such as Databricks, Snowflake, and Azure Synapse.

The ideal candidate will have a deep technical background in data engineering and a passion for leading the development of best-in-class data solutions. You'll enjoy providing strategic advice to clients, ensuring solutions are tailored to their needs and aligned with future growth.

This is a fantastic opportunity to apply your expertise, stay ahead of emerging technologies, and make a real impact across multiple organisations!

Requirements

Excellent scripting skills in languages including SQL and Python
Enterprise data modelling experience using tools such as ERwin or Power Designer
Experience with data ingestion (both batch and streaming), CI/CD tooling (e.g. Azure DevOps, Terraform etc.) and interrogation with databases such as SQL Server, Oracle, Redshift etc.
Experience developing solutions on any major cloud platform: Azure, AWS or GCP
Experience with reporting tools such as Power BI, Tableau, Qlik etc.
Excellent communication skills with a passion for problem-solving with technology
Experience in Financial Services would be beneficial for some major clients, but not essentialBenefits

Salary up to £120,000 depending on experience
Discretionary bonus up to 12.5%

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.