Senior Platform Engineer

About the RoleWe are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain. Your mission is to build technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing data & AI engineering teams.
About our Data & ML teamData & AI powers our growth and innovation. We build enterprise platforms to create actionable insight enabling colleagues to make effective decisions and create proactive, automated, hyper-personalised experiences for our customers.
We have a growing data and AI team in the UK and Netherlands. We function as the backbone for a variety of data-hungry consumers and platforms across the business within Marketing, Finance, Operations and Product teams. Our AI photo services are at the heart of our consumer experience and we’re expanding our footprint towards decentralised ML adoption within the business. As a team, we have come together through mergers. We are at the end of a phase of simplification of legacy infrastructure and moving into the next phase of consolidation and growth.
Your Daily Adventure at StorioWe are looking for a Senior Platform Engineer to join our newly-created Domain Platform Engineering sub-team within the Data & AI engineering domain.
The sub-team’s goal is to define and deliver Technology platform enablers that accelerate value delivery with higher quality whilst reducing cognitive load for our customer-facing engineering teams. The primary customers of this role are the data engineering and AI engineering teams. We see an opportunity to grow our footprint to provide data platform enablers for the organisation to promote our decentralised-by-design data strategy in the medium to long term.
We’re keen on a cloud engineer with experience or aptitude in data & AI. You care about building platforms that are heavily used. You have high standards on software engineering excellence. Not only have you advocated for and uplifted automation and infrastructure as code practices, you have built adoptable, scalable platforms that improve developer experience for a range of technical teams in the data & AI domain.

How You Make Your Mark

• Build Technology enablers that move the needle on the domain’s DORA metrics (such as cycle time, # deployments, change failure rate, mean time to recovery)
• Automate: Implement automation in provisioning, deployment, and scaling to minimise manual intervention and reduce errors.
• Standardise: Establish consistent environments and processes across the data & AI domain to help teams focus on value-driving activities, reduce complexity and improve reliability.
• Improve developer experience: Provide data governance tools, data ingest as a service, application/infrastructure interfaces and DevOps tooling to allow our engineers to focus on the application layer in their respective areas of expertise (e.g. ELT data modelling and transformations, building well-governed datasets, AI model building).
• Build scalable platforms: Design and build platforms that seamlessly promote best practice engineering for diverse user needs through a self-serve consumption model.
• Champion security and compliance: Embed security best practices and compliance requirements into the platform to protect data and meet compliance standards.
• Mentor: Upskill other platform engineers, data engineers and AI engineers to deliver and build adoption on your team’s initiatives

Our Tech Stack

• Cloud Data Warehouse - Snowflake
• AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda
• Data Governance & Quality - Collate & Monte Carlo
• Infrastructure as Code - Terraform
• Data Integration & Transformation - Python, DBT, Fivetran, Airflow
• CI/CD - Github Actions / Jenkins
• Business Intelligence - Looker

Experience and Attributes we'd like to see

• Platform Engineering Expertise
• Extensive experience in platform engineering; designing, building, and maintaining robust and scalable components used for enabling key business initiatives.
• Deep understanding of automation principles and experience implementing automation for provisioning, deployment, and scaling.
• Strong advocate for standardization, with a track record of establishing consistent environments and processes.


• Software Engineering Practices:
• Experience with software development lifecycle (SDLC) best practices, including version control (e.g., Git), peer-reviewing, unit and integration testing, and continuous integration/continuous delivery (CI/CD).
• An automation-first mindset, where manual actions are reduced to exception-cases.
• A focus on building high-quality, maintainable, and well-documented code.


• Governance, Security & Compliance:
• Experience with tools used to bring data governance principles and practices to life (such as data catalogues, data quality monitoring, data contracts).
• Experience in embedding security and compliance into platform design and implementation.


• Collaboration, Communication and Thought Leadership:
• Exceptional communication and collaboration skills.
• Evidence of collaborative, pragmatic and value-based approaches to platform build-out.
• Experience mentoring and coaching junior engineers, fostering a culture of technical excellence within the team.

Sounds exciting? Apply now with your resume and cover letter!