51 to 75 of 234 Databricks Jobs in London

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 ...

value throughout the sales cycle. This is a full‐time position based out of London. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their ...

across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment approaches where relevant You'll also work with ...

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 connectivity. Agent & AI Systems Expertise. ...

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 ...

e.g. Python, Java, C#, Typescript etc.) and understand both domain modelling and application programming. You have working knowledge of data management technologies (SQL, NoSQL, Databricks etc.). You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (e.g. AWS, Azure) and Infrastructure as Code ...

Experience in data engineering, data solution design, or data architecture roles, with strong expertise in Microsoft Azure data services and modern cloud platforms (e.g. Databricks) Good understanding of end-to-end data architecture, including ingestion, transformation, storage, modelling, and reporting Experience with Azure services such as Data Factory, Databricks, Synapse ...

/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 ...

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 ...

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 ...

development activities Technical capability across SQL, Python, and cloud platforms (e.g. Azure, AWS or GCP) Familiarity with data engineering tools and platforms such as Databricks THE BENEFITS Competitive salary and benefits package Opportunity to work on high-profile, complex engagements Access to cutting-edge data and AI technologies Strong career ...

financial services. Canonical/domain data modeling experience. What Won't Work Strategic architects focused only on roadmaps and documentation. Pure Data Engineers (ADF, Databricks, Medallion architecture). Anyone requiring significant ramp-up time or close management. Technical Environment Stack: Azure Functions (Python), Logic Apps Standard, Service Bus, APIM, Snowflake ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

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 ...

with experience in the following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code How You’ll be Supported At the company, we believe our people are our greatest ...

Data Architecture Expertise 8+ years’ experience in enterprise data architecture or modern cloud data platforms. Proven experience designing cloud-native data environments (e.g. Snowflake, Databricks, BigQuery or equivalent). Deep expertise in: Data modelling and semantic layers Governance and operating models Data integration patterns Structured and unstructured data environments Experience ...

Technical & Strategic Expertise Deep expertise across several of the following domains: Cloud architecture (AWS, Azure, GCP) Enterprise data platforms, analytics, and data governance (Snowflake, Databricks, BigQuery) Integration architectures, APIs, and middleware (LangChain, LlamaIndex, MuleSoft) Security architecture, risk management, and compliance (Zero Trust architectures, identity‐aware AI access, secrets management ...

Architect, Analytics Architect, or Senior Cloud Data Consultant Strong background in enterprise data platform and analytics architecture Extensive experience with Azure data ecosystem (Fabric, Databricks, Synapse, Azure Data Factory) Strong understanding of data modelling (Kimball, dimensional modelling, lakehouse patterns) Experience designing enterprise ETL/ELT and data integration architectures Strong … stakeholder engagement experience Desirable Exposure to AI/ML and advanced analytics platform architecture Experience with Microsoft Fabric adoption or modernisation programmes Knowledge of Databricks Lakehouse architecture patterns Experience in regulated environments (government, defence, financial services) Familiarity with DevOps, CI/CD, and DataOps practices in cloud environments Experience contributing ...

Analytics Engineering role with a focus on data modelling and transformation rather than dashboarding. Design and develop robust data models using dbt and Databricks Build and maintain trusted data layers to support analytics and reporting Work closely with insight analysts to deliver high quality, reliable data assets Write production level ...

deliver solutions that support business objectives What We're Looking For Strong experience designing and building scalable data pipelines Proficiency in SQL, Python, Databricks or AWS Experience with tools such as Git and Airflow Proven ability to test, troubleshoot and improve data platforms Experience delivering high-quality, reliable data solutions ...

teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search ...

with cloud platforms (Azure, AWS or GCP) Strong programming and data skills, including SQL and Python, with experience using modern data platforms such as Databricks Typically, 8+ years' experience in a high-performing analytics or consulting environment BENEFITS The successful Senior Forensics Analytics Manager will receive a salary ...

retrieval augmented generation (RAG) architectures. * Strong knowledge of cloud platforms including AWS or Azure. * Experience with data engineering and orchestration tools such as Databricks, Airflow, Docker, and Kubernetes is desirable. * Must have previous experience working within a small to medium-sized business (SME), start-up, or scale-up environment. * Comfortable ...

following:*Palantir (FDP)*Python*PySpark*Exploratory Data Analysis*Data pipeline design/data engineering concepts*Dashboard/reporting dataset development*BI tools (Redshift, Databricks or similar)*Agile delivery environmentsIf these technologies aren't clearly visible on your CV, you're unlikely to be shortlisted - so please make sure they ...