1,251 to 1,275 of 4,061 GCP Jobs

and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning … Apache Beam) or similar tools Proficiency in data architecture, data modeling, and scalable storage design Solid engineering practices: Git and CI/CD for data systems Highly Desirable Skills GCP Stack: Hands-on expertise with BigQuery, Cloud Storage, Pub/Sub, and orchestrating workflows with Composer or Vertex Pipelines. Domain Knowledge: Understanding of sports-specific data types ( event, tracking, scouting More ❯

We're rebuilding with a clean slate mindset - modern, cloud-native, and fully automated from day one. Kubernetes for orchestration - fully containerised architecture Cloud-agnostic setup (AWS, Azure, or GCP - your influence matters) Event-driven design, modern API practices (REST, gRPC) TypeScript across services and frontend (frameworks are flexible) Infrastructure as Code (Terraform) CI/CD baked in, GitOps model More ❯

We’re rebuilding with a clean slate mindset — modern, cloud-native, and fully automated from day one. Kubernetes for orchestration — fully containerised architecture Cloud-agnostic setup (AWS, Azure, or GCP – your influence matters) Event-driven design, modern API practices (REST, gRPC) TypeScript across services and frontend (frameworks are flexible) Infrastructure as Code (Terraform) CI/CD baked in, GitOps model More ❯

We’re rebuilding with a clean slate mindset — modern, cloud-native, and fully automated from day one. Kubernetes for orchestration — fully containerised architecture Cloud-agnostic setup (AWS, Azure, or GCP – your influence matters) Event-driven design, modern API practices (REST, gRPC) TypeScript across services and frontend (frameworks are flexible) Infrastructure as Code (Terraform) CI/CD baked in, GitOps model More ❯

We’re rebuilding with a clean slate mindset — modern, cloud-native, and fully automated from day one. Kubernetes for orchestration — fully containerised architecture Cloud-agnostic setup (AWS, Azure, or GCP – your influence matters) Event-driven design, modern API practices (REST, gRPC) TypeScript across services and frontend (frameworks are flexible) Infrastructure as Code (Terraform) CI/CD baked in, GitOps model More ❯

or framework. Nice to Haves Background in or experience with database systems and data processing. Experience working in functional languages such as Haskell, Elm, or F#. Experience using Google Cloud Platform and its services (e.g. Cloud Datastore). Experience working in an Agile development environment. Experience working with Google Web Toolkit (GWT). Experience working in the humanitarian sector. Experience More ❯

required, these qualifications are beneficial: Background in or experience with database systems and data processing. Experience working in functional languages such as Haskell, Elm, or F#. Experience using Google Cloud Platform and its services (e.g. Cloud Datastore). Experience working in an Agile development environment. Experience working with Google Web Toolkit (GWT). Experience working in the humanitarian sector. Experience More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

balancers and WAFs for secure web delivery. Responding to incidents and driving continuous improvement of platform security. Tech Stack: Cloud: AWS (EC2, Lambda, RDS, Route53, ELBs, EKS), plus some GCP/Azure exposure Infrastructure as Code: Terraform, Ansible Containers & Orchestration: Kubernetes, Docker CI/CD: Jenkins, GitHub Actions, AWS CodePipeline Monitoring: Prometheus, Grafana, ELK, CloudWatch Security: CIS, OWASP frameworks, SAST More ❯

Dagster/Temporal; Data processing: Polars/Spark/DuckDB; Data ingestion: Airbyte/Fivetran/dltHub; Data warehousing: BigQuery/ClickHouse/Snowflake). Experience with cloud platforms (GCP preferred), infrastructure as code, and cloud cost optimization. Track record of building data infrastructure serving analytics, ML and GenAI use cases. Startup mindset with ability to operate in ambiguity and More ❯

and security Embed operational excellence and incident response Promote observability and performance optimisation Lead DevOps Engineer Requirements Proven line management experience Cloud-native expertise (any cloud provider is fine: GCP, AWS or Azure) Knowledge of GitLab CI/CD, Terraform, Ansible Experience in Kubernetes, Docker, SRE and IaC principles Monitoring with Prometheus, Grafana etc Any scripting experience will be a More ❯

and security Embed operational excellence and incident response Promote observability and performance optimisation Lead DevOps Engineer Requirements Proven line management experience Cloud-native expertise (any cloud provider is fine: GCP, AWS or Azure) Knowledge of GitLab CI/CD, Terraform, Ansible Experience in Kubernetes, Docker, SRE and IaC principles Monitoring with Prometheus, Grafana etc Any scripting experience will be a More ❯

problem-solving skills and ability to take ownership Keen to work in a startup environment where things move fast Nice to Have (Not Essential) Cloud experience (Azure, AWS or GCP) Worked in startups or on SaaS products Understanding of financial or data-heavy systems Why Apply? High ownership and influence from day one Chance to help shape a product and More ❯

problem-solving skills and ability to take ownership Keen to work in a startup environment where things move fast Nice to Have (Not Essential) Cloud experience (Azure, AWS or GCP) Worked in startups or on SaaS products Understanding of financial or data-heavy systems Why Apply? High ownership and influence from day one Chance to help shape a product and More ❯

About JoltSynsor is a deep-tech spinout from Cambridge University, building the AI digital inspector to revolutionize infrastructure health monitoring. Our technology is solving a massive, global problem: the inefficiency and inaccuracy of manual inspections for critical infrastructure like bridges More ❯

Machine Learning, Engineering, or a related field Executive education or certifications in AI strategy, digital transformation, or innovation (e.g., MIT, Stanford, INSEAD programmes) Certifications in cloud platforms (AWS, Azure, GCP) and data governance frameworks are a plus 8+ years of experience in data, analytics, AI, or IT platform leadership roles Proven track record of designing and delivering enterprise platforms for More ❯

About JoltSynsor is a deep-tech spinout from Cambridge University, building the AI digital inspector to revolutionize infrastructure health monitoring. Our technology is solving a massive, global problem: the inefficiency and inaccuracy of manual inspections for critical infrastructure like bridges More ❯

startup in the AI and Healthcare technology sector Salary up to £150k + Equity Paddington-based (4-5 days per week in-office) Tech environment: Python SQL Airflow dbt GCP AWS Data Architecture Kafka If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're … in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent … express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management Python SQL Airflow dbt GCP AWS Data Architecture Kafka Governance Data Quality Cloud Data Platforms More ❯

startup in the AI and Healthcare technology sector Salary up to £150k + Equity Paddington-based (4-5 days per week in-office) Tech environment: Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're … in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent … express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

startup in the AI and Healthcare technology sector Salary up to £150k + Equity Paddington-based (4–5 days per week in-office) Tech environment: Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan – 07704 152638 WHO WE ARE … in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent … express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

startup in the AI and Healthcare technology sector Salary up to £150k + Equity Paddington-based (4–5 days per week in-office) Tech environment: Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan – 07704 152638 WHO WE ARE … in Python (or Scala/Java) and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent … express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯