Table of Contents
Job Overview
| Organization Name | Viasat |
| Position | AI Cloud Data Engineer |
| Job Type | Full-Time |
| Location | Hull, United Kingdom |
AI Cloud Data Engineer – Viasat Vacancies
About Us
At Viasat, we are a global communications and technology company driven by a mission to connect every person, business, and device on land, in the air, and at sea. Our Corporate Data & Analytics team powers data-driven innovation across the enterprise. By combining high-capacity global network solutions with advanced cloud infrastructure and artificial intelligence, we transform massive datasets into actionable intelligence, ensuring continuous platform modernization and world-class connectivity.
Website Link: https://www.viasat.com/
Job Overview & Key Responsibilities
Viasat is seeking an experienced AI Cloud Data Engineer to join our team in London (advertised location: Kingston upon Hull context). In this dual role of solution design and hands-on engineering, you will build modern cloud data platforms and engineer robust pipelines that deliver AI-driven data products to key business stakeholders.
Key Responsibilities:
- Architect Cloud Data Platforms: Design, deploy, and modernize scalable, reliable cloud-based data environments.
- Engineer Data Pipelines: Build automated, resilient ETL/ELT pipelines to ingest, transform, and deliver enterprise data for AI and analytics applications.
- Deliver AI Solutions: Partner with IT and analytics teams to design, prototype, and scale AI-driven data products.
- Stakeholder Collaboration: Translate complex business requirements into clear, efficient technical architectures.
- Ensure Platform Reliability: Implement rigorous data governance, monitoring, and performance tuning to guarantee high system availability.
Career Guide Tips for AI & Data Engineers
- Bridge Data and AI Models: Modern data engineering goes beyond simple data transport. Focus on feature store optimization, data lineage, and preparing data infrastructure specifically for machine learning models.
- Focus on Scalability and Cloud Native Architecture: Mastering serverless data workflows, automated schema evolution, and cost-effective cloud storage strategies will elevate your impact in big data environments.
- Practice Rapid Prototyping: Develop the agility to build quick proof-of-concept (PoC) pipelines that demonstrate value early before scaling to production.
How to Prepare Your CV for This Position
- Highlight Cloud & AI Stack Fluency: Feature prominent experience with leading cloud ecosystems (AWS, Azure, or GCP), modern data stack tools (Snowflake, Databricks, Spark), and Python or SQL proficiency.
- Showcase Business Impact: Rather than listing duties, state quantifiable results—such as “optimized query speed by 40%” or “built pipelines processing 10TB+ daily for real-time AI reporting.”
- Emphasize End-to-End Delivery: Clearly demonstrate your experience in bringing data products from initial requirement gathering through to production deployment.
How to Apply
To apply for the AI Cloud Data Engineer position at Viasat, submit your updated CV and professional portfolio directly through the official Viasat careers portal or listing platform. Ensure your technical proficiencies and relevant cloud engineering projects are highlighted.
Career Portal: Click Here
Disclaimer: Viasat is an equal opportunity employer. All hiring decisions are made based on business needs, job requirements, and individual qualifications. Job details, locations, and requirements remain subject to organizational updates.