About the role
A career without limits
As the nation’s flag carrier, we take great pride in connecting Britain with the world and the world with Britain.
It’s something we’ve been doing for over 100 years, ever since we launched the world’s first international scheduled air service between London and Paris.
This originality has been in our blood since day one. It’s the spirit we share with the people that fly with us, our partners, and our colleagues.
So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make.
We know great things can happen when you’re inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit.
The role: Principal Data Engineer
This role forms part of the data delivery teams The Principal Data Engineer leads others in the hands-on data engineering tasks, and will also retain close to the technical detail, leading the development, operation, and continuous improvement of data ingestion, storage and processing that underpins data across the organisation.
Principal Data Engineers are expected to lead the data lifecycle from development to deployment, monitoring, incident response, performance optimisation, and deprecation in line with modern DevOps principles.
Leading agile teams and supported by senior engineers, this role involves building reusable components, automating components, and embedding operational best practices to ensure that the platform is secure, resilient, observable, and cost-efficient
What you’ll do
Leading other in the build, test, and deploy data pipelines to support the secure and scalable delivery of data.
Maintain and operate data products, ensuring their availability, performance, and resilience through monitoring, alerting, patching, and incident resolution.
Assure code and automation scripts to manage data flows.
Lead service reviews, health checks, and root cause analyses to improve data processing reliability and reduce operational overhead.
Set standards for data processing documentation, ensuring changes…
