4 of 4 Temporary Databricks Jobs

integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery ...

bridge business and technical teams Experience working in Agile environments and collaborating with engineering and QA teams Familiarity with modern data platforms (Azure, Databricks) is advantageous Job Offer Competitive daily rate between GBP 510 and GBP 890. INSIDE IR35 A challenging and rewarding role within the financial services industry. Opportunity ...

best practices, operational excellence, and continuous improvement Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering … trading systems (ETRM/Endur), market data (ICE, Platts, Bloomberg), SAP. Degree in Computer Science/Engineering or equivalent experience; Azure Data Engineer or Databricks certifications a plus. Does this sound likeyournext career move? Applytoday. Working with Certain Advantage We go the extra mile to find the best people ...

thought leader on metadata, cataloguing, and governance design, with a strong focus on enterprise tooling capabilities, specifically: Collibra Enterprise Data Catalogue (EDC), Databricks Unity Catalogue, and the evolution of enterprise catalogue, access, and metadata analytics. This is an important role ensuring data, analytics, and AI assets are discoverable, trusted, governed … general audience Experience in working in varied natural teams Proven ability to operate as a senior individual contributor influencing at scale Desirable Experience with Databricks, Unity Catalog, and data platforms Knowledge of AI governance, model registries, and emerging AI regulation Experience in complex, global enterprise environments Strong facilitation, communication ...