Data Architect

Searchability
Edinburgh
11 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect - 12 Month FTC (we have office locations in Cambridge, Leeds and London)

Data Architect

Data Architect

Data architect

Data Architect - EDINBURGH


  • Opportunity for aData Architectto join an innovative data consultancy in Edinburgh
  • Salary up to £90,000 + some fantastic benefits including hybrid working, enhanced maternity and paternity pay, training programmes and more.
  • Apply online or contact Chelsea Hackett via



WHO WE ARE:


We are a consultancy, based in the UK, offering various services to help organisations make better use of their data. Our expertise spans areas like strategy, management, engineering, migration, cloud technologies, and analytics.


Working across multiple industries such as retail, telecoms, healthcare, and finance, the company focuses on a people-cantered approach, emphasising collaboration, innovation, and responsible use of data.


OUR BENEFITS:


  • Flexible and hybrid working
  • Autonomous working
  • Generous holiday allowance & your birthday off
  • Enhanced maternity and paternity pay
  • Annual bonuses
  • Training and coaching programme
  • And more…



WHAT WILL YOU BE DOING?


You will be responsible for presenting and explaining architectural decisions to stakeholders at various levels, while supporting clients across multiple sectors. Your role will also involve debugging and optimising existing solutions, as well as ensuring resource consumption and cost optimisation. Additionally, you will develop a strong understanding of governing enterprise-level data environments, and contribute to testing and documentation efforts to ensure quality and consistency across projects.


DATA ARCHITECT – ESSENTIAL SKILLS


  • Proficient in data modeling and Microsoft Fabric solutions
  • Experienced in implementing Modern Data Warehouse architectures
  • Familiar with Azure Data Engineer technologies (ADF, Azure SQL, Synapse)
  • Skilled in designing and maintaining Microsoft solutions
  • Python experience
  • Strong knowledge of SQL, NoSQL, CosmosDB, and KQL
  • Experienced in data pipeline development for cloud and on-prem data sources
  • Excellent problem-solving, analytical, and communication skills
  • Eager to learn and adapt to new technologies


TO BE CONSIDERED…


Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

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.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.