Data Architect

iO Associates - UK/EU
Manchester
11 months ago
Applications closed

Related Jobs

View all jobs

Data Engineering Director

Data Engineering Director

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Senior Data Engineer & ETL Architect (Hybrid)

Data Engineer

Lead Data Engineer: Build Scalable Pipelines & Modern Data

Job Opportunity: Data Architect
Salary: £90,000
Location: Manchester - One day a week in the office

Are you a talented Data Architect ready to take on a key role in a thriving digital environment? This is an exciting opportunity to join a globally recognised, innovative company, shaping the future of their data capabilities.

The Role

As a Data Architect, you'll join a high-performing Digital Analytics team, responsible for setting and maintaining best practices for managing, integrating, and optimising data assets. Your expertise will help transform data into valuable insights that drive efficiency, improve decision-making, and unlock growth opportunities.

You'll design and implement advanced data architecture solutions, ensuring data integrity and accessibility across the organisation. Collaborating closely with IT, data engineering, and analytics teams, you'll play a pivotal role in delivering cutting-edge solutions using modern platforms and technologies.

What Success Looks Like

  • Proven experience as a Data Architect in a dynamic, data-focused digital or e-commerce environment.
  • Advanced knowledge of Microsoft Azure.
  • Strong expertise in data modelling, integration, and management principles.
  • Experience working with Modern Data Warehouse platforms such as Snowflake or similar.

What's on Offer

  • £90,000 salarywith performance-based bonuses.
  • Flexible working hours and remote options.
  • Competitive pension contributions.
  • Private health and dental care.
  • Income protection.
  • Professional development opportunities.
  • Engaging team events and a collaborative, supportive environment.

Why Join Us?

Our client is a global leader in their industry, blending innovation and excellence to deliver outstanding services and products. Their commitment to leveraging advanced technology and data makes them a pioneer in digital transformation.

They pride themselves on fostering a workplace culture that values diversity, equity, and inclusion. Their team celebrates individuality and strives to create an empowering environment where everyone feels valued and supported.

Core Values

  • Do the right thing.
  • Work as one team.
  • Focus on customer success.
  • Be bold and innovative.
  • Grow and achieve together.

If you're ready to make an impact and take your career to the next level in a dynamic, forward-thinking organisation, this is the role for you.

Apply nowto join a world-class team and help shape the future of data-driven innovation.

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.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

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.