1 to 25 of 31 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 ...

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 ...

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 ...

concepts and how they can be applied to improve quality processes and drive continuous improvement. Exposure to data engineering and analytics tools (e.g., Databricks, Spark, Airflow or dbt). Awareness of cloud platforms (AWS, Azure or GCP). Experience with Git, CI/CD or Agile practices (from university ...

ecosystem SQL – advanced querying, modelling, and optimisation Data pipelines & orchestration – Airflow, Prefect, Dagster, or dbt Data warehouses/lakes – BigQuery, Snowflake, Redshift, or Databricks ML frameworks – PyTorch, TensorFlow, or scikit‐learn LLM & AI tooling – OpenAI, Anthropic; LangChain or LlamaIndex Agentic AI – LangGraph, LangChain Agents, AutoGen, or CrewAI; tool/function ...

scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “ The Tetra Way ,” authored ...

internal business units Core technical breadth across the Data & AI domain sufficient to lead credibly: modern data platform and lakehouse architectures (Microsoft Fabric, Azure, Databricks), data engineering and integration, data governance, cataloguing, lineage and quality (Microsoft Purview), analytics and BI (Power BI), and applied AI (Microsoft 365 Copilot, Copilot Studio ...

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 ...

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 ...

dynamic business context. The Tetra Platform spans the following diverse technology domains: Enterprise Data & Agentic AI Platform: Multi-tenant cloud architecture, Durable workflows, AWS, Databricks, RBAC/ABAC, IAM, observability and infrastructure chargebacks. Data, Knowledge, and Developer Products: Search, Semantic layer foundations, knowledge and ontology layers and products, external developer ...

architectures; guide delivery teams through design, prototyping, implementation and production readiness. The role requires strong architecture leadership, deep Azure-based data platforms experience (ADF, Databricks, data lake, SQL), and enterprise AI governance, #J-18808-Ljbffr ...

deploying generative AI solutions, including LLMs, prompt engineering, fine-tuning, RAG techniques, and AI agents. Proficiency in cloud platforms such as Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability ...

powered automation solutions. Experience with Power Platform Center of Excellence (CoE) practices and managed environments. Knowledge of Azure services, integration patterns, APIs, Azure Functions, Databricks, and the broader Microsoft ecosystem. Experience building reusable enterprise assets, accelerators, templates, and solution frameworks. Experience with Power Pages and external-facing digital experiences. Relevant ...

platforms or distributed processing environments. Experience operating within regulated or security-sensitive environments. Experience supporting, coaching or mentoring others. Tools & Technologies: Python Spark Scala Databricks AWS SQL Azure Snowflake MLflow GitHub Our Package A structured Technical Progression Pathway to recognise and reward appropriate technical people. Competitive DV market aligned salaries ...

scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored ...

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 ...

numerical field, hands-on experience with supervised, unsupervised and deep learning, and proficiency in Python and SQL. Cloud experience with Azure/Databricks is highly valued, as is responsible AI. #J-18808-Ljbffr ...

customer-facing apps. Our cloud stack is predominantly in AWS, with a number of serverless microservices (mainly Python and TypeScript), databases, and a Databricks datalake, all supporting web applications, digital products, operational insights, and AI research. We're also in the middle of rethinking how we build software and moving ...

quantitative discipline (Statistics, Computer Science, Mathematics, Physics, Economics, or equivalent) Desirable Master’s or PhD in a quantitative field Cloud 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 production Experience building propensity ...

classification, quality profiling, lineage and 'AI-readiness' health checks that establish the baseline for AI adoption. Modern data platform – Microsoft Fabric, Azure Synapse/Databricks, data lakehouse and warehouse design, migration and modernisation from legacy platforms. Data engineering and integration – ingestion pipelines, ETL/ELT modernisation, master data management, unstructured … data readiness and AI. What we expect of you Demonstrable knowledge of the Data & AI landscape – modern data platforms (Microsoft Fabric, Azure Synapse, Databricks, data lakehouse/warehouse), data engineering and integration, and analytics (Power BI). Knowledge of data governance, data quality and data management disciplines – cataloguing, lineage, master ...

requires minimum one day per week in Cambridge, with on-site time as needed. You will work across AWS, Python/TypeScript stacks, and Databricks data lake, shaping AI-native engineering practices to deliver reliable products that #J-18808-Ljbffr ...

strong knowledge of AWS You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Software Engineer (Machine Learning ...

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

Do 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 future where everyone has access ...

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 ...