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

Apply Now

Data Architect

Smartedge Solutions
united kingdom, united kingdom
7 months ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

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

Data Architect (Transformation Programme)

Smartedge’s Client is looking for an Data Architect @ Remote (UK/ EU)


Experince Required :


Solid experience as Data architect with Informatica, Teradata, Alteryx

•Strong experience and understands the technology stack with a particular focus on Databases, SQL, ETL tools etc

•Commercial experience in enterprise IT projects in data architecture

•Financial Institutions working directly with end users

•Leading team, but must still have the desire / capability

•Demonstratable evidence / track record of building a system that made it into production.

•Keen to find someone who has worked with end users directly and built a system / made substantial change and has practical experience of succeeding in an FI / Highly regulated environment

•Leadership / Influencing / Management skills with both on-shore & near-shore teams, along with the ability to succeed in a matrix organisation

•Senior mindset who can devise and formulate Strategies, yet sufficiently detail oriented to coach and brainstorm with developers

•Practical Agile experience -ie achieved outcomes, rather than just followed methodology

•Informatica / IDQ , Axon

•BCBS Data delivery experience

•Work closely with Finance Leadership, Peer Delivery teams, Cross Bank Functions; strive to maintain, improve and drive the Finance Data Quality & Remediation Strategy.

•Working closely with your team (5-10 fte) based in Ireland & abroad, facilitate a collaborative environment that enables continuous, predictable, high-quality output

•Collaborate with peer functions in the Bank across, in particular the Group Data Office to ensure the Finance DQ&R strategy aligns with the wider group goals.

•Oversee, maintain, and drive the underlying plan ensuring optimum level of transparency for stakeholders


If this sounds like a role you would be interested in or if you know someone in this field.


Connect with me or email me at



Alternatively, you can call me on Tel:+44(0)203 500 2108.

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.