development environments based on observation, experimentation and user research Demonstrable experience working in multi-disciplinary/DevOps teams which include product owner/manager, UX designers, UX researchers, Developers, Platform engineers, etc Demonstrable experience working on continuous improvement environments doing multiple releases every week Coding and testing: Demonstrable experience designing, coding and debugging Golang based systems Good skills in More ❯
Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and PlatformEngineering to deliver hyperconnected and automated data experiences. Influence programme and project teams to adopt standard data design and integration patterns early in the lifecycle. Continuous Improvement Identify More ❯
City Of Westminster, London, United Kingdom Hybrid/Remote Options
Additional Resources
wider business needs. Supporting the continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related … architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding More ❯
Westminster, City of Westminster, Greater London, United Kingdom Hybrid/Remote Options
Additional Resources
wider business needs. Supporting the continuous improvement of processes, deployment, and data quality standards. What We Are Looking For: Previously worked as a Senior Data Engineer, Data Engineer, Data Platform Engineer, Data Architect, Data Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related … architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience with PostgreSQL and familiarity with lakehouse technologies (e.g. Apache Parquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding More ❯
