76 to 100 of 291 Permanent Databricks Jobs

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

equivalent) or SQL Hands-on experience of data analysis and communicating findings Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory Experience of using collaboration tools such as JIRA and Confluence Experience of using version control software e.g. Git Experience of running ...

Azure Cloud (AppServices, Function Apps, DataFactory, Batch, EntraID, AzureML, etc.) Azure DevOps (Pipelines, Bicep templates, CLI, PowerShell, Artefacts) Python/C# Azure Databricks Git, YAML PowerBI ESRI ArcGIS, FME, QGIS, etc. Key details Closing date: Thursday 2nd July at 23:59 Interview Information: Candidates are required to complete a SOVA ...

practice adoption to reduce technical debt.. Who you are It’s your unique ingredients we’re interested in: Advanced analytical capability. Strong Power BI, Databricks and SQL skills, with a solid grasp of relational and dimensional data modelling. Business-focused problem solving. Able to interpret business needs and translate them ...

Experience with experiment design and conducting A/B tests Bonus Points – Experience building shared or platform‐style ML systems Bonus Points – Experience with Databricks and PySpark Bonus Points – Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing: PMI and cash plan ...

Team, working alongside architects, analysts, testers and agile delivery squads. Responsibilities: * Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps * Ingest, transform and model data from multiple sources into our enterprise data platform * Optimise data flows for performance, reliability and reusability * Support … platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile ...

Team, working alongside architects, analysts, testers and agile delivery squads. Responsibilities: * Build and maintain scalable, automated data pipelines using Azure tools like Data Factory, Databricks and Logic Apps * Ingest, transform and model data from multiple sources into our enterprise data platform * Optimise data flows for performance, reliability and reusability * Support … platforms, Data modelling, Kimball Methodology, Master Data Services, Data Quality (DQ), Purview * Azure Data Lake, Azure Data Factory, Logic Apps, Azure Databricks, Azure Functions, Azure Synapse * Python, Scala, PySpark * SharePoint, PowerPivot, Power BI, Data integration layers, Database and storage models, Delta loading, External data loads Desirable Experience * PowerShell scripting, Agile ...

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 ...

Experience building full-stack applications using React, JavaScript/TypeScript and Node.js Knowledge of GitHub, CI/CD, automated testing and Agile delivery methodologies Databricks experience highly desirable, including Lakehouse architecture and Delta tables Exposure to geospatial data and spatial analysis beneficial Interest in AI technologies and AI-assisted development ...

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 ...

manage multiple tasks effectively. Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. ...

robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. ...

Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development ...

working in the financial services industry and a good understanding of data-related regulatory requirements for the financial services sector. Desirable Experience of DataBricks and Informatica MDM Experienced of working in a global organisation with dynamics of operating in a matrix structure across regions. Experience of working in an organization ...

rank, search or recommendation models Experience with deep learning & large language models Experience with experiment design and conducting A/B tests Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access ...

Overview At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Engineering Manager … will work with your team to build mission‐critical Lakebase services on the Databricks Platform at scale. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that ...

bring Strong hands-on experience in data engineering, including PySpark and production data pipelinesExperience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS)Proven ability to design and manage scalable data pipelines, models, and schemasSolid SQL and relational database expertiseExperience with datalake migration concepts (medallion architecture, incremental loads … Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients ...

bring Strong hands-on experience in data engineering, including PySpark and production data pipelines Experience with Microsoft Fabric, Azure Synapse, or similar platforms (e.g. Databricks, AWS) Proven ability to design and manage scalable data pipelines, models, and schemas Solid SQL and relational database expertise Experience with datalake migration concepts (medallion … Manager, Data Engineering Lead, Lead Data Engineer, Azure Data Engineer, Data Platform Manager, Analytics Engineering Manager, Cloud Data Engineer, BI & Data Lead, PySpark Engineer, Databricks Engineer, Head of Data Engineering. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients ...

lineage Operate orchestration tooling (Airflow, Dagster, Prefect or equivalent) and the workflows around it Manage cloud data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Synapse, Databricks) Implement data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/… transformation tooling Orchestration experience (Airflow, Dagster, Prefect or equivalent) Production experience with at least one major cloud warehouse/lakehouse (Snowflake, BigQuery, Redshift, Synapse, Databricks) Cloud platform experience (AWS, GCP, Azure) Solid data modelling foundations—dimensional modelling, slowly changing dimensions, Data Vault or domain-driven approaches CI/ ...