176 to 200 of 536 Databricks Jobs in the UK

Tableau and/or Power BI ; ability to design dashboards and narratives for business audiences. Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent). Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers. Ability ...

testing and validation (e.g., schema tests, data quality checks). Manage data documentation and lineage within DBT. Design and develop scalable data pipelines using Databricks and Apache Spark. Build and optimize data workflows for batch and real-time processing. Transform and process large datasets using PySpark, SQL, and Delta Lake. ...

testing and validation (e.g., schema tests, data quality checks). Manage data documentation and lineage within DBT. Design and develop scalable data pipelines using Databricks and Apache Spark. Build and optimize data workflows for batch and real-time processing. Transform and process large datasets using PySpark, SQL, and Delta Lake. ...

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 ...

working as a developer in a corporate environment and production support experience. Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree or certification in NLP, ML, or related fields. Familiarity with DevOps practices and tools. Hands-on experience with experimentation and model tracking ...

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 ...

FinOps, AI economics or technology value management capability. Exposure to AI platforms such as Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI API, Anthropic, Databricks or Snowflake. Understanding of AI cost drivers including input/output tokens, embeddings, context windows, model routing, retries, caching and agent orchestration. Experience supporting ...

sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East. We are looking for a Databricks Senior Developer who will join our Team supporting one of the biggest investment banks. Key responsibilities: Design and Develop Data Pipelines Build scalable, high-performance … data pipelines using Databricks, PySpark, and SQL . Develop and optimize ETL/ELT workflows for batch and streaming data processing. Lead Cloud Migration Initiatives Drive and support the migration of on-premises data platforms to cloud environments (preferably Azure). Refactor legacy data pipelines and ensure seamless transition ...

sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East. We are looking for a Databricks Senior Developer who will join our Team supporting one of the biggest investment banks. Key responsibilities: Design and Develop Data Pipelines Build scalable, high-performance … data pipelines using Databricks, PySpark, and SQL . Develop and optimize ETL/ELT workflows for batch and streaming data processing. Lead Cloud Migration Initiatives Drive and support the migration of on-premises data platforms to cloud environments (preferably Azure). Refactor legacy data pipelines and ensure seamless transition ...

sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East. We are looking for a Databricks Senior Developer who will join our Team supporting one of the biggest investment banks. Key responsibilities: Design and Develop Data Pipelines Build scalable, high-performance … data pipelines using Databricks, PySpark, and SQL . Develop and optimize ETL/ELT workflows for batch and streaming data processing. Lead Cloud Migration Initiatives Drive and support the migration of on-premises data platforms to cloud environments (preferably Azure). Refactor legacy data pipelines and ensure seamless transition ...

normalisation, enrichment, and preparation Apply appropriate data modelling techniques and architecture patterns, with a strong focus on medallion architecture Orchestrate, monitor, and optimise Azure Databricks jobs and Azure Data Factory pipelines across development, UAT, and production environments Configure platforms, clusters, and compute resources to optimise performance, cost, and reliability … improvement actions Ensure data environments are audit-ready and aligned with governance standards TECHNOLOGY STACK (AZURE) Cloud Platform: Microsoft Azure Data Engineering & Analytics: Azure Databricks (development, UAT, and production) Azure Data Factory Azure Synapse Analytics (where applicable) Machine Learning & AI : Azure Machine Learning (limited non-production usage) Azure Document Intelligence ...

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/ ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake. Please Note: Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain … focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design ...

cloud platforms. We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building … communication and teamwork skills. In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other ...

/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 ...

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 ...

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 ...

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 ...

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 ...