Databricks Jobs in South London

3 of 3 Databricks Jobs in South London

Head of Application Engineering (London)

Wandsworth, Greater London, UK
Pantheon
managed retirement of outdated systemsensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutionsdesigning, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPTwhile enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock More ❯
Employment Type: Full-time
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GTM Solutions Architect, AI/ML Intelligent Enterprise IRC264836 (London)

Wandsworth, Greater London, UK
GlobalLogic
as modern data platforms, data product engineering, data marketplace architecture, data developer portals, platform engineering. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills able to translate complex ideas for both technical and business audiences. Demonstrated thought leadership in AI/ML such as speaking at industry events, contributing to More ❯
Employment Type: Full-time
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Head of Data Engineering (London)

Wandsworth, Greater London, UK
Hybrid / WFH Options
Houseful Limited
used daily by home builders, mortgage brokers, local councils, and more to make informed property purchasing decisions. Weve migrated key legacy SQL Server/SSIS pipelines to PySpark and Databricks, and were in the home stretch of our modernisation programme. Now were looking to unlock the power of our disparate data, and make it accessible and reusable across our teams … to high standards of compliance (inc ISO-27001, GDPR), Data Governance, and Information Security Experienced in migrating from SQL based data architectures to modern Data Engineering technologies, using PySpark, Databricks, Terraform, and Pandas Someone able to explore, analyse and understand our data and its uses Ideally experienced in a multi-cloud environment (Databricks across Azure and AWS) solving networking, security More ❯
Employment Type: Full-time
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