London, South East, England, United Kingdom Hybrid/Remote Options
Crimson
Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor pipelines, resolve issues, and enhance data quality processes. Work closely with engineers, data More ❯
City Of Westminster, London, United Kingdom Hybrid/Remote Options
Additional Resources
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. ApacheParquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯
Westminster, City of Westminster, Greater London, United Kingdom Hybrid/Remote Options
Additional Resources
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. ApacheParquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Additional Resources Ltd
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. ApacheParquet, Delta Tables). Exposure to Spark, Databricks, and data lake/lakehouse environments. Understanding of Agile development methods, CI/CD pipelines, GitHub, and automated testing. Practical experience monitoring More ❯
and analytics teams to ensure data models align with business and technical goals. Leveraging tools such as ERWin, Sparx, RSA, Visio , and handling semi-structured data formats (JSON, XML, Parquet). SKILLS AND EXPERIENCE The successful Data Modeller will have the following skills and experience: Proven experience in data modelling within consulting or financial services environments. Strong expertise in More ❯
