Job DetailsJob Title: GCP FinOps EngineerLocation- Newport, UKKey Responsibilities(Individual contributor role)*

• Optimise large scale data analytics workloads through partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies.
• Tune containerised microservices by recalibrating CPU/memory requests, improving autoscaling efficiency, and restructuring workload placement on cost efficient compute.
• Redesign workflow orchestration pipelines for parallel execution, increased concurrency, and offloading heavy tasks to lower cost execution environments.
• Analyse distributed data processing pipelines to right size worker types, adjust scaling thresholds, and adopt low cost compute for batch workloads.
• Reduce log processing and storage overhead through log level standardisation, routing rules, exclusion filters, and retention optimisation.
• Implement storage tiering strategies based on access patterns and enforce lifecycle rules to minimise cold data retention costs.
• Improve relational database performance through index tuning, connection optimisation, and instance right sizing.
• Enhance horizontally scalable database performance via autoscaling policies, index improvements, and mitigation of read/write hotspots.
• Build dashboards, budgets, alerts, and guardrails to drive ongoing cost governance and financial accountability.
• Collaborate with engineering teams to embed cost efficient architecture patterns and operational best practices.

Key Skills / Knowledge

• 5+ years of hands-on experience in Google Cloud
• Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering)
• Expert-level Kubernetes & GKE resource tuning
• Hands-on experience with Dataflow job pipelines and worker optimisation
• Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator)
• Strong Dataflow processing pipelines development & schedulers knowledge
• Deep understanding of Cloud Logging routing, sinks, exclusion filters
• Experience with Cloud Spanner autoscaling, indexing, schema optimisation
• Cloud SQL performance tuning and indexing
• Ability to analyse billing data & resource consumption
• Experience using GCP Cost Explorer, Recommender API, Billing Export
• Ability to quantify cost savings and present ROI to leadership
• Build dashboards, alerts, and budget guardrails
• Strong communication and stakeholder management
• Ability to collaborate across engineering, data, and product teams
• Structured problem-solving mindset
• Ownership-driven, proactive and independent

Experience Required

• Min 5+ years experience in Google Cloud