Senior Data Engineer; Tech

We are looking for an enthusiastic, numerically minded individual with a strong interest in data and a creative approach to problem-solving. This role requires someone who is confident working independently, making technical decisions, raising engineering standards, and sharing knowledge with others. As part of a platform-focused team, you will also be expected to support the solutions you build and, where needed, take part in out-of-hours support.

Working in an agile environment, you will need to be comfortable both independently and as part of a team in a fast-paced, evolving setting. This calls for someone who can meet agreed deadlines, communicate clearly, and think innovatively.

As part of a Visualisation Admin squad, you will provide platform administration support for our BI tools, primarily Looker and Micro Strategy, ensuring high-quality, reliable services.

• Own and administer the Looker platform, maintaining availability, performance, stability and security.
• Manage platform configuration, user access, roles, permissions, service accounts and governance controls in line with security and audit requirements.
• Manage LookML deployments and source control processes using Azure Dev Ops to support safe, efficient and repeatable change delivery.
• Support release planning and controlled platform changes to ensure smooth, low-risk delivery.
• Monitor platform usage, performance and incidents, identify root causes, and implement lasting improvements.
• Promote BI administration best practice, including standards for naming, folder structures, access models, content lifecycle and environment management.
• Work closely with engineers, analysts and stakeholders to understand requirements, resolve issues and support effective use of Looker across the business.
• Use automation and infrastructure-as-code approaches where possible to improve consistency, reduce manual effort and strengthen platform controls.
• Contribute to technical design, change management and release planning for BI platform enhancements and strategic initiatives.
• Coach and support team members by sharing knowledge, promoting engineering standards and encouraging continuous improvement.
• Actively take part in squad, chapter and guild ceremonies, contributing to team culture, delivery practices and wider Data Tribe goals.
• Bring forward innovative ideas and practical solutions to improve how our BI platforms are managed, used and developed.
• Keep your skills up to date by following advancements in business intelligence solutions and data warehousing, bringing forward ideas that improve platform capability, resilience and user experience.

This is not a full definition of the role but covers the main aspects and drivers for success.

• Expert knowledge and experience administering Looker, including user access, roles and permissions, GCP IAM integration, environment management, and service accounts.
• Good understanding of LookML, deployment workflows and version control practices.
• Experience supporting BI platforms, with strong troubleshooting and performance optimisation skills.
• Strong experience with CI/CD, release management, and automation tools using Azure Dev Ops and Terraform.
• Strong SQL skills, with the ability to investigate data issues and support platform users effectively.
• Knowledge of Git and experience working within engineering standards, governance processes and controlled change environments.
• Strong written and verbal communication skills, both technical and non-technical, with the ability to build effective relationships horizontally and vertically across the business.
• A proactive, collaborative approach and experience working effectively in agile, fast-paced environments.
• Adaptable and open to change, with a willingness to upskill in Micro Strategy administration.
• Able to drive change and innovation, with strong strategic awareness and a broader business perspective.

• Experience with other BI tools such as Power BI or Tableau.
• Knowledge of Python or scripting for automation.
• Experience with cloud data platforms such as Big Query or Snowflake.
• Knowledge of data modelling.