876 to 900 of 3,844 Permanent Google-Cloud-Platform Jobs

Lead Data Engineer | Python, DBT, Airflow, Terraform, GCP/AWS | London (Hybrid 1-2 Days) | £120K-£140K OB is partnered with an exciting Unicorn FinTech that are on a mission to transform lending with a central focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data enables every … 7+ years in data or backend engineering, including 2+ years in a lead or technical decision-making role. Are fluent in the modern data stack: DBT, BigQuery, Airflow, Terraform, GCP or AWS. Bring strong software engineering skills: Python, SQL, CI/CD, DevOps mindset. Understand data warehousing, ETL/ELT, orchestration, and streaming pipelines. Thrive in cross-functional product squads … and collaborative work. If you are interested in this role, please send your CV to jonah.brookes@oliverbernard.com Lead Data Engineer | Python, DBT, Airflow, Terraform, GCP/AWS | London (Hybrid 1-2 Days) | £120K-£140K More ❯

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 More ❯

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 More ❯

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 More ❯

product managers, and internal engineering teams to translate requirements into a scalable, unified platform architecture. Build and operate systems in a multi cloud environment - primarily AWS and GCP, with experience in Azure or other providers valued. Partner cross functionally to tackle complex technical challenges and drive cohesive platform solutions. Own the full software lifecycle from design and … oriented languages (Kotlin, C#, Scala). Hands on experience designing and developing distributed systems and RESTful or event driven APIs. Familiarity with cloud platforms such as AWS or GCP, and related infrastructure services. Understanding of data streaming, message queues, or asynchronous processing (Kafka, Pub/Sub, SQS). Proficiency with relational and/or NoSQL databases and writing performant More ❯

product managers, and internal engineering teams to translate requirements into a scalable, unified platform architecture. Build and operate systems in a multi cloud environment - primarily AWS and GCP, though experience with Azure or other providers is valued. Partner cross functionally to tackle complex technical challenges and drive cohesive platform solutions. Own the full software lifecycle - from design … languages (e.g., Kotlin, C#, Scala). Hands on experience designing and developing distributed systems and RESTful or event driven APIs. Familiarity with cloud platforms such as AWS or GCP, and related infrastructure services. Understanding of data streaming, message queues, or asynchronous processing (e.g., Kafka, Pub/Sub, SQS). Proficiency with relational and/or NoSQL databases, and comfort More ❯

friction, applying best practices like DDD, 12-Factor App principles, and modern API design. Skilled in building internal platforms, developer tooling, and paved paths on cloud platforms (e.g., GCP, AWS). Automation Advocate: Skilled in automating workflows, CI/CD pipelines, and infrastructure as code (e.g., Terraform, Ansible). Observability Believer: Ensure developers have actionable insights into their applications More ❯

Job Title: Machine Learning Engineer (FTC) Location: York/London Hybrid (3 days per week onsite) Department: Digital Decisioning Salary: Up to £77,000 + Excellent Benefits About the Role WRK digital is proud to partner exclusively with a well More ❯

Job Title: Machine Learning Engineer (FTC) Location: York/London Hybrid (3 days per week onsite) Department: Digital Decisioning Salary: Up to £77,000 + Excellent Benefits About the Role WRK digital is proud to partner exclusively with a well More ❯

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 ❯

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 ❯

automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

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 More ❯

automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in More ❯

ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

of our DevOps team, you’ll: Build, maintain, and optimise CI/CD pipelines and automated deployment processes. Manage Linux-based systems and cloud infrastructure (OpenStack, AWS, or GCP). Implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Saltstack, or Puppet . Support and manage databases – primarily PostgreSQL , with exposure to MySQL, Elastic, and MongoDB . More ❯

of our DevOps team, you’ll: Build, maintain, and optimise CI/CD pipelines and automated deployment processes. Manage Linux-based systems and cloud infrastructure (OpenStack, AWS, or GCP). Implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Saltstack, or Puppet . Support and manage databases – primarily PostgreSQL , with exposure to MySQL, Elastic, and MongoDB . More ❯

of our DevOps team, you'll: Build, maintain, and optimise CI/CD pipelines and automated deployment processes. Manage Linux-based systems and cloud infrastructure (OpenStack, AWS, or GCP). Implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Saltstack, or Puppet . Support and manage databases - primarily PostgreSQL , with exposure to MySQL, Elastic, and MongoDB . More ❯

of our DevOps team, you’ll: Build, maintain, and optimise CI/CD pipelines and automated deployment processes. Manage Linux-based systems and cloud infrastructure (OpenStack, AWS, or GCP). Implement Infrastructure as Code (IaC) using tools such as Ansible, Terraform, Saltstack, or Puppet . Support and manage databases – primarily PostgreSQL , with exposure to MySQL, Elastic, and MongoDB . More ❯