as Code – HashiStack (Terraform, Vault, Consul ..), CloudFormation etc. • Continuous Integration – Jenkins, TeamCity, TFS, Travis CI etc. • Continuous Deployment/Delivery – Automic, Octopus Deploy, UrbanCode etc. • Containers – Docker, Kubernetes, Mesosphere etc. • Configuration Management – Ansible, Chef, Puppet etc. • Cloud – AWS preferred; multi clould experience ie with Azure, GCP etc. highly More ❯
to work sensitively and effectively in a multicultural environment. Results-driven with a strong sense of accountability. Technologies You'll Work With: Oracle Database IBM MQ Interfaces IBM Websphere IBM Tivoli Workload Scheduler Urban Code for automatic deployment JIRA for defect tracking Candidates will need to show More ❯
to work sensitively and effectively in a multicultural environment. Results-driven with a strong sense of accountability. Technologies You’ll Work With: Oracle Database IBM MQ Interfaces IBM Websphere IBM Tivoli Workload Scheduler Urban Code for automatic deployment JIRA for defect tracking Candidates will need to show More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Pontoon Solutions
to work sensitively and effectively in a multicultural environment. Results-driven with a strong sense of accountability. Technologies You’ll Work With: Oracle Database IBM MQ Interfaces IBM Websphere IBM Tivoli Workload Scheduler Urban Code for automatic deployment JIRA for defect tracking Candidates will need to show More ❯
Job Type: Contract Job Location: Wimbledon , UK Job Description : For this role, senior experience of Data Engineering and building automated data pipelines on IBM Datastage & DB2, AWS and Databricks from source to operational databases through to curation layer is expected using the latest cloud modern technologies where experience of … environments for ETL, data science, and analytics use cases. AWS Cloud: Extensive experience with AWS services such as S3, Glue, Lambda, RDS, and IAM. IBM Skills: DB2, Datastage, Tivoli Workload Scheduler, Urban Code Programming Languages: Proficiency in Python, SQL. Data Warehousing & ETL: Experience with modern ETL frameworks and data … team(s) in designing, developing, and maintaining highly scalable and performant data infrastructures. Customer Data Platform Development: Architect and manage our data platforms using IBM (legacy platform) & Databricks on AWS technologies (e.g., S3, Lambda, Glacier, Glue, EventBridge, RDS) to support real-time and batch data processing needs. Data Governance More ❯
