> Markdown version of [/jobs/ext/1303863-cd-a-data-engineer](https://www.wearedevelopers.com/jobs/ext/1303863-cd-a-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CD&A Data Engineer - **Company:** Viasat, Inc. - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Bash Shell, BigQuery, Data as a Services, Extract Transform Load (ETL), Data Systems, DevOps, Github, Monitoring of Systems, Python (Programming Language), Uptime, Windows PowerShell, Rapid Prototyping Process, Site Reliability Engineering Practices, Standard Sql, Software Engineering, YAML, Enterprise Data Management, Scripting, Mttr, Data Management, Terraform, Data Pipelines, Servicenow - **Published:** July 17, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=375e16259eba9d7f ## About the Role * Strong experience designing and implementing modern cloud-based data platforms (GCP preferred). * Strong SQL and Python engineering skills. * Experience building and operating ELT/ETL solutions using tools such as dbt, Airbyte, Prefect, or equivalent. * AI-assisted coding and automation (Claude Code preferred) * Experience with monitoring tools and ITSM platforms (ServiceNow or similar). * Experience contributing to solution design, and translating business requirements into effective data solutions. * Ability to evaluate technologies and recommend practical approaches to solving business and technical problems. * Experience working with AI-assisted software engineering and rapid prototyping techniques. What will help you on the job: * Understanding of SRE concepts (SLO/SLI's, uptime, alerts, MTTR). * Experience with GCP DevOps, GitHub, YAML, AI assisted coding, and basic repo/pull request workflows. * Exposure to Terraform and scripting (Python, PowerShell, Bash). * Flexible, collaborative mindset with curiosity, adaptability, and willingness to learn new tools and practices. ## Description We're looking for an experienced Data Engineer who can act as a trusted technical partner to our team. The role combines hands-on engineering with solution design and rapid prototyping of new data products and services; all with a strong focus on AI led development. You'll help shape the future state of our data ecosystem by designing and implementing data solutions, evaluating tools and approaches, and helping translate business requirements into practical technical solutions. You will work closely with stakeholders across Corporate Data & Analytics, IT, and the wider business to identify opportunities, validate concepts, and deliver high-value data capabilities. In addition to design and delivery responsibilities, you will provide technical support and contribute to the ongoing evolution of our BigQuery, Airbyte, Prefect, dbt, AI, and analytics platforms. In this role you will: * Support daily platform operations across BigQuery, Airbyte, Prefect, dbt, and related analytics systems. * Contribute to program governance, modernization activities, observability improvements, and platform hardening. * Assist with monitoring, SRE practices, L3 incident support, and uptime/data quality tracking. * Provide reporting and analytics support, including validations, schedules, permissions, and catalogue maintenance. This is a site based role; employees work 3+ days (60%+) per week from the London Viasat office within a standard five-day workweek. The day-to-day: Although no two days are the same, you will: * Contribute to technical discovery, prototyping, and solution design for new data products and platform capabilities. * Help design scalable data pipelines and data services using modern cloud-native patterns. * Collaborate with engineers and stakeholders to evaluate approaches and solve technical challenges. * Support platform reliability, operational excellence, and major incident resolution where required. * Produce and maintain architecture diagrams, technical designs, and engineering documentation. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [CI/CD with Github Actions](https://www.wearedevelopers.com/videos/856-ci-cd-with-github-actions) - [What Developers Get Wrong About Application Quality](https://www.wearedevelopers.com/videos/233-what-developers-get-wrong-about-application-quality) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)