76 to 100 of 360 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 ...

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 ...

attribution platforms * Experience using Bloomreach or similar CRM and segmentation tools * Understanding of data pipelines and data engineering concepts * Exposure to tools such as Databricks, Clarity or Hotjar * Experience working in insurance, financial services or other regulated environments * Experience using Python for analysis or data manipulation About You * A commercially ...

architectural fluency: microservices, API-first, event-driven architecture, multi-tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling ...

predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge – Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development – Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like ...

platforms (Looker, dbt Semantic Layer, AtScale)– Vector databases and hybrid retrieval (Qdrant, Pinecone, pgvector, AlloyDB vector search)– Cloud data platforms at scale (BigQuery, Snowflake, Databricks, Spanner)– Data cataloging and governance (Google Knowledge Catalog/Dataplex, Collibra, Alation, Atlan)– MCP (Model Context Protocol) for agent-data connectivityAgent & AI Systems Expertise. Experience ...

ownership and impact. What You'll Be Doing Design and build a modern Azure-based data platform Develop scalable ETL/ELT pipelines using Databricks, Spark and Azure services Implement secure, governed data solutions following DataOps and DataSecOps principles Create high-quality data models to support reporting and self-service … data solutions Essential Skills Strong SQL and Python (PySpark preferred) Proven experience building cloud-based data platforms on Azure Hands-on experience with Azure Databricks, Delta Lake and Azure Data Lake Expertise designing ETL/ELT pipelines Experience with Power BI administration and data modelling Knowledge of Git, CI/ ...

telemetry/SCADA systems domain is a strong plus. Extensive experience in cloud data architecture, infrastructure, and real-time data integration especially on Azure, Databricks, Synapse and Fabric with proficiencies in streaming platforms, infrastructure automation and Data Governance/MDM tools (e.g., Microsoft Purview, Profisee, Informatica, Databricks Unity Catalog etc. … Solution Architect to join our growing team. This role is responsible for designing, implementing, and optimizing large-scale data and cloud solutions across Azure, Databricks, and Microsoft Fabric. Your responsibilities: Architect and implement scalable, secure, and high-performance data platforms using Azure, Databricks, and Microsoft Fabric for real-time ...

/SQL LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases FastAPI/APIs AWS/Azure/GCP/Databricks CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure ...

ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security ...

ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security ...

environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable ...

/SQL · LLMs (prompt engineering, fine-tuning, RAG) · LangChain/LangGraph · Agent frameworks · Vector databases · FastAPI/APIs · AWS/Azure/GCP/Databricks · CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure ...

operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data ...

operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data ...

operational rollout Environment Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable ...

implement Medallion-aligned data pipelines (Bronze/Silver/Gold) in our cloud data lake or lakehouse (Azure/AWS/GCP/Databricks/Snowflake). Assess and remediate the current third-party implementation , identifying blockers and accelerating delivery. Define the SAP data model strategy , including prioritisation of modules ...

solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data ...