National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

AWS Data Solution Architect

83zero Limited
London
5 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Newcastle

Senior Data Engineer

Data Scientist -UAE National, AWS Generative AI Innovation Center

Data Engineer (Databricks Champion)

Data Engineer (Databricks Champion)

Machine Learning Engineer III

AWS Data Solution Architect- Permanent - UK-Wide

(Amazon Web Services)

Salary guideline:£80,000 - £100,000 pa (DOE) + 10% Bonus, Pension up to 6% contributory, Health Insurance, Life Assurance etc.

Base Location:UK Wide - Hybrid model - Onsite / Remote

The Role:

The Cloud Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Cloud Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP.

Essential Skills and Experience:

  • AWS (e.g., Athena, Redshift, Glue, EMR)
  • Google Cloud Platform
  • Java, Scala, Python, Spark, SQL
  • Experience of developing enterprise grade ETL/ELT data pipelines.
  • Deep understanding of data manipulation/wrangling techniques
  • Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review).
  • Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR, GCP DataProc or GCP Cloud Data Fusion.
  • NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore.
  • BigQuery and Data Studio/Looker.
  • Snowflake Data Warehouse/Platform
  • Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming.
  • Experience of working CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc.
  • Experience and knowledge of application Containerisation, Docker, Kubernetes etc.
  • Experience building and deploying solutions to Cloud (AWS, Google Cloud) including Cloud provisioning tools (e.g., Terraform, AWS CloudFormation or Cloud Deployment Manager)
  • Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.
  • Ability to translate business requirements into plausible technical solutions for articulation to other development staff.
  • Experience designing analytics deliveries, planning projects and/or leading teams

To apply please click the "Apply" button and follow the instructions.

For a further discussion, please contact James Money on

83zero Limited is a boutique consultancy specialising in Digital, Data and AI transformation within the UK. We provide high quality interim and permanent senior IT professionals.

amFtZXNtb25leS42NzYxNi4xMjI3MUA4M3plcm8uYXBsaXRyYWsuY29t.gif

National AI Awards 2025

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

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Jobs

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

🍪 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.