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

Apply Now

Big Data Architect

InterEx Group
united kingdom of great britain and northern ireland, uk
4 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data.


Essential requirements:

  • More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements
  • Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc.
  • Experience in preparation answering RFPs: organize the offer solution team, solution definition, effort and cost estimation,
  • Past experience in dealing with partners, tools vendors, etc.
  • Business Domain Knowledge
  • More than 5 years of experience in Big Data implementation projects
  • Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
  • Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.)
  • Previous involvement in working in a Multilanguage and multicultural environment
  • Proactive, tech passionate and highly motivated


Desirable requirements:

  • Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,…
  • Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc.
  • Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc


General information:

  • Start Date: ASAP
  • Length of Contract: 1 year (minimum)
  • Work Location: Madrid
  • Remote working. (It may be necessary at some point on-site presence in the customer office in Madrid).


We look forward to receiving your application!

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.