25 of 25 Databricks Jobs in the East of England

data or technology roles, such as architecture, operations, and design related disciplines. At least three years of experience in Azure (Azure Synapse, Azure Databricks, Fabric, PySpark). Comprehensive experience with data modelling Experience across a range of other IT functional disciplines will be of benefit, including: Data Platform tools ...

cases. You may work with technologies and architectural approaches including, but not limited to: Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data ...

experience as a Data Engineer, building and maintaining data pipelines Strong Python and PySpark skills Experience with Azure data services such as Synapse, Databricks or Data Factory Good SQL and data modelling skills Confidence working with stakeholders to turn business needs into data solutions Desirable: Microsoft Fabric, Tableau administration, Power ...

GCP. We're interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Additional InformationAssessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. Quick ...

Generative AI, Machine Learning, or Digital Transformation programs 2. Value realisation, benefits tracking, or portfolio management practices3.Data platforms such as Snowflake, Azure Data Lake, Databricks, or similar technologiesJoin our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers ...

practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).Experience leading and supporting cross-functionally across diverse science or engineering teams, influencing key stakeholders across a matrix organization. Strong communication, interpersonal ...

practical experience in software or data engineering (i.e. agile), including Python, SQL, version control, testing, workflow orchestration, cloud platforms, and data lakes (i.e. Snowflake, Databricks, Palantir Foundry, AWS).Strong communication, interpersonal, ethical, self-awareness, and customer service skills. Desired Requirements:Demonstrated record of scientific or technical impact through publications, conference ...

Data Analytics, Artificial Intelligence or a related field, or equivalent experience, would be effective, although practical experience is equally valuable.“Nice to Have”Azure, Databricks, Apache Spark or comparable cloud and data platforms.Data pipelines, ETL and workflow-orchestration technologies.Machine-learning methods such as forecasting, prediction or classification.Experience with enterprise platforms ...

process systems, code generation for analysis, and human-in-the-loop review. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

evidence-based recommendations. Curious about advanced analytics, with experience or a strong interest in applying statistical and machine learning techniques (e.g. Python, R or Databricks) to turn insight into practical, ethical and explainable actions. Where you’ll work Right now, our Support Centre teams work flexibly, blending home working with ...

enough machine learning operations (MLOps) and model serving to ship an MVP to production. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

regression testing).Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI ...

tech transfer, and with the NVIDIA physical AI and agentic model stack (Nemotron, etc.).Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development.Preferred ExperiencePrior experience as a Forward Deployed Engineer at an AI-native company (Anthropic, Palantir, OpenAI, or similar ...

Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. Proven ability to own solution architecture … pharmaceuticals, or other regulated industries. Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt ...

technical audiences. The ability to manage competing priorities, adapt to changing requirements and deliver high-quality outputs within agreed deadlines. Desirable Experience working with Databricks and/or dbt within modern data environments. Experience supporting data migration, platform modernisation or improvements to analytical workflows. Knowledge of reporting automation and opportunities ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent)Desired Skills and CompetenciesMaster’s or PhD in a quantitative fieldCloud data platforms (Snowflake, Databricks, BigQuery, or Azure Synapse)Product analytics instrumentation experience (Amplitude, Mixpanel, Pendo, or custom event pipelines)MLOps — model deployment, monitoring, and retraining in productionExperience building propensity ...

automation and external technology partners.Key Responsibilities:Manage the delivery of changes, upgrades and ongoing maintenance across the Smart Meter SystemSupport Azure Application Services, Azure Databricks storage, SQL databases and database storage volumesMaintain Gamma Router services, DCC physical and virtual gateway connections, adaptors and secure gateway infrastructureOversee HSM code changes ...

DescriptionSenior AI Architect and Engineer LeadDescriptionDo you want to work to make Power for Good We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a ...

DescriptionSenior AI Architect and Engineer LeadDescriptionDo you want to work to make Power for Good? We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a ...

operation of all parts of the Smart Meter System including:Azure Application ServicesGamma RouterDCC physical and virtual Gateway connectionsDatabase storage volumesSQL Database storageAzure Databricks storageHSM (including code changes/upgrades)Siemens EnergyIPData cleansing operationsDatabase backup and retention policy implementationOracle databasesNature and scope:You will require management of the Smart Meter ...

data governance and Master Data Management frameworks, ensuring data quality, integrity and compliance. Architect and deliver modern cloud-based data platforms using Microsoft Fabric, Databricks and Power BI. Take ownership of the Power BI and cloud data platform environments, ensuring they are secure, scalable and fit for purpose. Develop impactful … bring: Proven experience leading Data & Analytics functions and developing high-performing teams. Expert-level knowledge of Power BI, DAX, Power Query, Microsoft Fabric, Databricks, SQL and ETL/data pipeline technologies. Strong experience in data governance, data quality and Master Data Management (MDM). A track record of delivering enterprise ...

About The Role:Role OverviewWe are looking for a Business Intelligence Analyst with strong Facilities Management experience and knowledge of CAFM systems to design, develop and maintain reporting and analytics solutions that support our operational ...

tools like dbtExperience using AI/GenAI capabilities to support analytics, data exploration or insight generation. Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation. Understanding of how to design trusted, governed and well-documented data products … tools like dbtExperience using AI/GenAI capabilities to support analytics, data exploration or insight generation. Familiarity with AI platforms and tools such as Databricks Genie, AI Agents, OpenAI or Claude, with an understanding of prompts, model evaluation. Understanding of how to design trusted, governed and well-documented data products ...

Company DescriptionWe believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough ...

experienced Information Architect, Data Architect or Solution Architect with strong Supply Chain domain knowledge and hands-on expertise across AWS , Databricks , and modern data platforms? Do you have a proven track record designing scalable data architectures that support supply planning, demand forecasting, inventory optimisation, and operational decision-making … event-driven architectures. Strong hands-on experience with AWS data services covering data ingestion, storage, processing, orchestration, security, and monitoring. Advanced knowledge of Databricks , including Lakehouse architecture, Delta Lake, and large-scale data engineering practices. Expertise in conceptual, logical, and physical data modelling, including dimensional modelling, relational modelling, and modern ...