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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines and products using GCP technologies, with strong proficiency in Python and Go for orchestration and service development. Capable of implementing CI/CD practices and managing infrastructure through Terraform while collaborating effectively in Agile environments.
Highest-signal resume keywords
GCP ExperiencePython ProficiencyTerraform KnowledgeSQL ExpertiseStreaming Data Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentPython ProgrammingGo ProgrammingSQLTerraformCI/CD PipelinesStreaming DataUnit TestingIntegration TestingLoad Testing
Soft Skills
CollaborationProblem-SolvingAgile MethodologyCommunicationPrioritization
Tools & Technologies
BigQueryDataflowGrafanaPrometheusGCP IAMPub/SubCloud FunctionsGKECloud BuildComposer/Airflow
Industry Keywords
Data ProductsReal-Time CapabilitiesEvent-Driven ArchitectureMatrix OrganizationDistributed Team
Tech Stack
Tools & technologiesAirflowBigQueryCloudGoogle Cloud PlatformGrafanaJavaPrometheusPythonSQLTerraformGo
About the role
Key responsibilities & impact- Build new data pipelines, data products and real-time capabilities
- Build and maintain high-throughput streaming and batch pipelines on Dataflow and BigQuery
- Use Python for orchestration and tooling and Go for low-latency viewer-facing services
- Deploy and manage services using Terraform infrastructure-as-code
- Write unit, integration and load tests
- Set up metrics, alerting, logging and monitoring dashboards using Terraform, Grafana and Prometheus
- Implement and manage fine-grained access through GCP IAM
- Maintain platform stability and performance
- Participate in the team support and on-call rota
- Triage support issues and bugs, prioritising work alongside planned engineering tasks
- Collaborate with Product Managers and stakeholders across Personalisation, Marketing, Commercial and Finance to refine requirements into technical tasks
- Improve validation tools and contribute reusable components to the team’s tool chest
Requirements
What you’ll need- Hands-on experience with GCP, including Pub/Sub, BigQuery, Dataflow, Composer/Airflow, Cloud Functions, GKE and Cloud Build, or equivalent experience on another cloud with willingness to learn GCP
- Strong SQL
- Proficient in at least one of Python, Java or Go, with willingness to learn the others
- Experience with streaming data
- Experience with SQL-based transformation tooling
- Experience with CI/CD pipelines
- Good knowledge of Terraform
- Experience deploying containerised services
- Ability to work within complex architectures involving event-driven streaming and multi-project environments
- Comfortable participating in daily standups, sprint planning and retrospectives in a mature Agile environment
- Able to work in a matrix organisation and distributed team
- Willingness to learn and use AI-assisted engineering tools such as Claude Code, Gemini ADK and Vertex AI agents
Benefits
Comp & perks- Flexible working with a range of options to suit everyone
- Generous holiday allowance, plus you can buy more
- Annual bonus opportunity
- Competitive pension contribution
- Save as you earn - with an opportunity to buy ITV shares
- Wellbeing and volunteering days
- A wide range of opportunities to help you live a balanced and healthy life
- Opportunities to learn and grow
- Reasonable adjustments and application/selection support
