BI Engineer

About Us – Fan Focused. Results DrivenAt Gemba, we work at the intersection of sport, entertainment and culture, bringing strategy, data and analytics, insights and communications together to deliver results that matter.Our name comes from the Japanese term gemba, meaning "the real place", which reflects our commitment to uncovering the truth at the heart of fan behaviour. Since 2006, we’ve built our reputation by understanding audiences deeply, helping our clients cut through the noise of an increasingly complex and competitive landscape.We are proud to partner with major brands, rights holders and organisations to shape the future of sport and entertainment, whether driving commercial growth, increasing participation or creating meaningful engagement.If you are passionate about fans, culture and creating impact, you’ll find your place at Gemba.About The RoleWe’re looking for a BI Engineer who thrives on solving complex data challenges and delivering solutions that empower decision-making to join our growing Data & Analytics team.In this role, you’ll be responsible for designing and managing data architecture, building scalable pipelines, and transforming data into accurate, usable views. You’ll work across a range of data sources from CRM and digital to social and research and use tools like BigQuery, DBT, and Github to implement and maintain a robust data platform for clients and internal usage.You’ll also play a key role in enabling organisational change, collaborating with senior stakeholders and helping drive Gemba’s thought leadership in the 1st party data and analytics space.ResponsibilitiesData Architecture & EngineeringConduct architecture reviews and recommend scalable, secure solutionsBuild and maintain data pipelines, cloud-based workflows, and integrationsConnect and manage data across multiple sources, ensuring accuracy and integrityAnalytics & VisualisationCreate data models that support performance tracking, fan engagement and advanced analyticsUse platforms like Azure, GCP, Git, DBT, Airflow and Cloud RunCollaboration & CommunicationWork closely with Data Analytics, Insights and Engineer teams to support client deliveryDocument technical processes clearly and regularly Partner with internal and client stakeholders to deliver scalable BI solutionsAbout YouExperience & Background4+ years’ experience in BI, data engineering or analytics rolesStrong technical capability in Python, SQL, and GitHubExperience with cloud platforms (particularly Google Cloud Platform)Tertiary qualifications in computer science, mathematics, engineering, or a related fieldExperience in agency or fast-paced environmentsExperience managing technical debt and automation workflowsA passion for sport, entertainment and shaping data infrastructureSkills & ToolsProficient in building and optimising data pipelinesExperience in data visualisation and analytics using SQL, PowerBI, or LookerFamiliarity with cloud-native tools (e.g. GCP, AWS Lambda, Google Cloud Functions, Azure etc)Deep understanding of data quality, governance and version controlSuccess Looks LikeScalable BI infrastructure that supports insight-led decision makingRobust infrastructure orchestration and management Strong internal and client relationships built on trust, clarity and deliveryHow To ApplyIf you’re ready, click the Apply button below and submit your CV and cover letter. Address cover letters to Anita Opoku - People Manager, EME.Note: All candidates require working rights in the UK to perform the role and are required to work in our London based office 4 days per week, with 1 day per week remote working.Gemba is an Equal Opportunity Employer. We value diversity and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected characteristics or similar.Recruitment Agencies, we appreciate the interest, but we’ve got this one covered. Thanks