451 to 475 of 1,974 Databricks Jobs in England

mission needs into technical solutions Lead teams across data, engineering, and delivery Influence strategy, capability, and technical direction Tech landscape AWS | Azure | GCP Databricks | Snowflake Data lakes | Warehouses | Distributed systems DevOps | Infrastructure as Code | Secure deployment Data governance | Secure access | Analytics layers What you bring Active DV clearance (essential) Proven ...

Extensive experience as an Enterprise Data Architect within large, complex organisations Previous line management or leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives ...

data ingestion, transformation, orchestration and SQL based development Experience working with senior stakeholders, Enterprise Architecture and governance functions Bonus, experience with Microsoft Fabric, Databricks or Azure Synapse This is a Permanent role, with hybrid working based in London. Paying around £80,000 - £85,000 #J-18808-Ljbffr ...

identify opportunities for improvement and set a high standard across engineering quality, performance and delivery.Responsibilities will include:Designing and improving engineering patterns across Azure Databricks and Azure Data FactoryDriving performance and optimisation across caching, indexing, partitioning and costReviewing code and acting as a technical quality gateImproving DevOps practices across ...

identify opportunities for improvement and set a high standard across engineering quality, performance and delivery.Responsibilities will include:Designing and improving engineering patterns across Azure Databricks and Azure Data FactoryDriving performance and optimisation across caching, indexing, partitioning and costReviewing code and acting as a technical quality gateImproving DevOps practices across ...

genuine interest in developing into an architectural role Experience working closely with Data Engineers, Analytics teams, and business stakeholders Exposure to Microsoft Fabric, Databricks, Python, PySpark, or dbt would be beneficial Experience with data modelling tools such as Sparx EA, Sparx Enterprise Architect, Enterprise Architect, ER/Studio, ERwin, Erwin ...

squads SupportML and GenAI infrastructure and workflows Skills and experience as the Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time ...

years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise in secure API/event‐driven design, microservices, DDD. Experience ...

modern MLOps practices including CI/CD, version control (Git) and infrastructure automation Experience working with cloud platforms and modern data ecosystems (Azure and Databricks experience beneficial) Strong understanding of machine learning principles and model deployment processes Excellent communication skills with the ability to explain technical concepts to non-technical ...

data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting ...

Python, PostgreSQL, DynamoDB, OpenSearch Experience with APIs, webhooks, and system integrations Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with Snowflake, Databricks or similar data warehouses Knowledge of AI/ML concepts and how they apply to business processes Customer-Facing Skills Excellent communication skills with both technical ...

architecture governance Desirable Experience Investment banking, wholesale banking, or capital markets. Transaction monitoring, risk, finance, regulatory reporting, or data platforms. Cloud migration factory approaches. Databricks and modern data platforms. AI, analytics, and data engineering workloads. Azure/GCP architecture certifications. ...

architecture governance Desirable Experience Investment banking, wholesale banking, or capital markets. Transaction monitoring, risk, finance, regulatory reporting, or data platforms. Cloud migration factory approaches. Databricks and modern data platforms. AI, analytics, and data engineering workloads. Azure/GCP architecture certifications. #J-18808-Ljbffr ...

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 ...

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 ...

inherent in the Life Sciences value chain.Core Architecture: Expertise in Data Modernization, Microservices, Cloud Architecture, and Lakehouse patterns.Data & AI: Deep hands-on proficiency in Databricks (Spark, PySpark, DLT), GenAI (Agent Core, Copilot Studio, Amazon Bedrock), and Graph Databases (Neo4j).Cloud & Tools: Strong command of AWS (Lambda, Glue, EMR, MWAA ...

Strong foundation in Python and SQL Experience building models for real commercial use cases (e.g. propensity, clustering, regression) Comfortable working with tools like PySpark, Databricks, Tableau or Power BI (nice to have, not essential, since the group uses a mix across its businesses) A track record of translating technical work ...

streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with data governance, security, privacy and compliance ...

quality standards Deep Data & Analytics expertise , including data platforms, data migration, modelling, governance, master data, or analytics products Experience with cloud technologies such as Databricks, Snowflake, Power BI Strong understanding of data architecture fundamentals and how delivery interacts with data engineering, BI, and governance Experience maturing D&A operating models ...

help the team do better and be better, again and again Write maintainable, testable code and enjoy providing code reviews Be experienced with Databricks, Delta Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Python, SQL, and PySpark ...

with some combination of: Data architecture, modelling, integration, governance or migration Cloud technologies such as Azure, AWS or GCP Modern data platforms such as Databricks or Snowflake Application and integration architecture AI, ML or GenAI Technology transformation and modernisation Architecture frameworks, roadmaps and solution design Working directly with clients ...

Intermediate Excel and SQL skills, with the ability to interrogate data and evidence conclusions. Experience of a major programming language is beneficial. Experience with Databricks, Unity Catalog, Microsoft Purview or equivalent modern data and governance platforms. Experience with data governance, metadata, modelling or data quality tools such as Collibra, Alation ...

operating an application inside a regulated or heavily restricted enterprise environment where you do not control the platform. Experience integrating applications with Teradata, Databricks, SAS, or SSH-driven jobs. Experience with React or an equivalent modern front-end framework. Experience with graph or lineage visualisation. Experience with observability and monitoring. ...

including API-first delivery and AI data access enablement.What You Bring • Hands-on experience designing schemas for relational databases, messaging, data lakes/lakehouses (Databricks, Snowflake, or equivalent), and API/message formats (JSON Schema, OpenAPI, Avro, Protobuf). Strong understanding of metadata and lineage management.• 5+ years of experience ...