Staff Enterprise Technology Engineer

Salary: £59,000 - 99,000 per year

Requirements

• Bachelor or equivalent experience in Computer Science, Engineering, Information Systems, or another numerate field.
• Demonstrable experience as a Dataiku Data Science Studio Lead Product Engineer responsible for an enterprise DSS implementation with hundreds of users and multiple environments.
• Deep technical and functional expertise across the DSS product, including its use as a Data Science / Data Engineering platform and its configuration and automation via APIs.
• Experience defining, crafting, and leading the implementation of enterprise-strength platform capabilities, including patching and upgrade strategy, regression testing, availability and recovery (RPO/RTO), RBAC security model, LDAP integration, and scalability of data and compute for the DSS platform.
• Deep understanding of enterprise use of Python for platform automation and pandas for data engineering, including defining protocol standards and monitoring for anti-patterns.
• Advanced use of SQL for data engineering and reporting, including data modelling and design skills and exposure to ETL principles and practices.
• Experience defining standards and guidelines for the full SDLC, including development, test, deployment, git source control, and Jenkins or ADO pipelines.
• Experience using Azure DevOps or Jira for agile working practices and ceremonies, including standups, sprint planning, and retros.
• Knowledge management experience through ADO task updates, formal documents in Excel, Word, and SharePoint, and self-service wiki pages.
• Evidence of thought leadership through production of formal designs and implementation of those designs by others.
• Experience producing architecture outputs such as technical architecture diagrams and key design decision documents.
• Experience mentoring and coaching junior staff through direct review of results and informal technical coaching.

Responsibilities

• Provide thought leadership on all aspects of platform operations and capability delivery as part of an agile DevOps team.
• Own the technical platform architecture.
• Define key platform and user metrics to pre-empt issues, manage cost, and mitigate problem reoccurrence, ensuring safe and reliable operations.
• Work with platform Architects and Product Owners to assess new platform capabilities and produce formal assessment and design documentation considering enterprise requirements and total cost of ownership.
• Work with Product Engineers to deliver high-quality platform solutions through the full lifecycle, including design, development, test, and implementation.
• Collaborate with the Project Manager or Scrum Lead to estimate and plan deliverables and track execution through daily standups.
• Collaborate with the Service Delivery Manager to define operational process, practices, and standards, support major service incidents, and contribute to root cause analysis.
• Collaborate with TA&I Sponsors, dTA Product Managers, and Architects to define the platform product roadmap for functional and technical capabilities.
• Collaborate with the dTA Product Owner, Scrum Lead, and Service Delivery lead to manage TCO with a focus on cloud cost optimisation.
• Manage the supplier relationship with Dataiku, including influencing the DSS product roadmap to meet TA&I requirements.
• Define protocol standards for the platform, covering version upgrades, capability roadmap, deployment and hosting, availability and recovery, and operations.
• Apply repeatable engineering principles through automation for all platform processes, ensuring configuration is maintained under source control with automated deployment and testing.
• Drive continuous improvement through agile sprint retrospectives, RCAs, design review workshops, and metrics monitoring forums.
• Coach and develop junior team members.
• Use data to decide where to invest in the platform automation suite.

Technologies

• Azure
• Cloud
• DevOps
• ETL
• Excel
• Git
• Support
• JIRA
• Jenkins
• LDAP
• Product Owner
• Project Manager
• Python
• RBAC
• SQL
• Security
• SharePoint
• pandas
• API
• EC2
• NoSQL

More

We are BP, and this role sits within our digital Trading Analytics DevOps team supporting the Dataiku platform and wider PowerBI and Plotly ecosystem for our Trading Analytics and Insights organisation within Trading and Shipping. We operate at enterprise scale, supporting hundreds of end users across multiple environments and discipline communities. We offer a diverse and exciting environment, flexible working options, a generous paid parental leave policy, and excellent retirement benefits. This is a hybrid office/remote role based in London, with no travel expected and no relocation assistance available. We are committed to reasonable accommodations for candidates and employees with disabilities, and we are an equal opportunity employer.

last updated 36 week of 2026