1 to 25 of 281 Remote/Hybrid Databricks Jobs in London

technically curious, energised by complex problems, and ready to do your best work, this is the place. The Role This is our first dedicated Databricks hire, and the technical direction of the practice is yours to set. You'll own the technical solution on our Databricks engagements: designing … first year or so, getting hands on with implementation. We've gone live with Databricks internally and for our customers, designing and building solutions that migrate multiple terabytes of on-prem data to the cloud; govern internal and external access through Unity Catalog; run repeatably through the use of declarative ...

like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event‐based architectures) Experience with high‐performance, large‐scale data ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

years as an Engineer in a Data Field Strong Azure data skills, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps& Logic Apps Azure Stream Analytics Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes, Lakehouses or Data Meshes that underpin analytics and AI workloads - Understanding of Data Security, Data ...

tuning at large scaleStrong programming skills in Python, with applied experience in data engineering workflowsExpertise in PySpark for distributed data processingHands-on experience with Databricks, including Delta Lake and performance optimizationKnowledge of Azure Data Factory for orchestration of pipelines (ETL/ELT)Familiarity with AI/ML pipeline development, including ...

.* Strong experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (preferred)* Experience with modern data technologies: Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, Microsoft Fabric (preferred)* Strong SQL and database expertise across relational and non-relational platforms.* Experience designing Data Lakes, Lakehouse architectures, and Enterprise Data Warehouses. ...

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 ...

fine-tuning and evaluation. Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. Lead fine-tuning and model-customisation … Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation. Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings. What We’re Looking For Strong understanding ...

Role overview A Databricks Partner Program (DPP) vetted Resident Solutions Architect with active SC clearance, embedded with a UK public sector client to design, govern and deliver a production Databricks Lakehouse. Job title Databricks Resident Solutions Architect (DPP), SC Cleared Engagement: Contract, 6 months initial with strong extension potential Clearance … Location: London Hybrid vs remote: client site attendance as required Rate: DOE - Outside IR35 Start: ASAP About the engagement: Our client is a UK Databricks partner consultancy delivering data modernisation for central government. The programme moves sensitive, regulated datasets off legacy warehouses and siloed cloud storage onto a governed Lakehouse. ...

continuous improvement of both the platform and the team.**Your Skills:*** Experience in cloud-based data engineering using Azure, AWS, or GCP, preferably with Databricks, Snowflake, or Microsoft Fabric.* Strong SQL skills and experience with Python, along with a keen interest in modern data platforms and architectures.* Good understanding ...

operational workloads,AIand emerging usecases. You may work with technologies and architectural approaches including, butnotlimited to: Cloud platforms:AWS,Azureand GCP Modern data platforms:Databricks, Snowflake and cloud-native data services Data architecture:Lakehouse, medallion, datameshand domain-oriented patterns Data processing:Apache Spark,SQLand distributed processing technologies Data storage:Delta ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

Excellent problem-solving and communication skills. Strong experience of different data architectures including hub and spoke, data lakes, data fabrics, lakehouses. Detailed understanding of Databricks eco system. Strong experience of Data reporting solutions from data warehousing (Kimble and Inmon), ETL, reporting tools, and document stores. Exceptional communication skills to explain ...

experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker ...

experience working with SQL Server Strong experience working with Azure Data Factory and Azure DevOps Hands-on experience with data lake platforms, Azure Synapse, Databricks, or equivalent experience/skills Experience with tooling such as CI/CD pipelines and version control The ability to lead feature specifications and working ...

similar role with a particular focus on design and delivery of analytical data models Experience with Azure Cloud Services, particularly Azure Data Factory, Databricks, SQL server/SQL databases Experience working with version control and CI/CD pipelines (e.g. Azure DevOps, Git) Excellent programming skills in both ...

Designing scalable reporting solutions using best-practice methodologies such as Kimball, Star Schema, or Medallion Architecture Azure DevOps or CI/CD processes Azure Databricks Databricks Genie or AI-assisted analytics tools Microsoft Fabric Agile delivery environments and sprint-based working What They Offer Salary up to £60,000 Fixed ...

engineering community at Moneybox, sharing expertise and helping raise standards across our technology estate Our Data Technology Stack Cloud: Microsoft Azure Data platforms: Azure Databricks, SQL Server, Cosmos DB and Blob Storage Data processing: Python, Spark and SQL Messaging: Azure Service Bus and Event Hubs DevOps and infrastructure: Azure DevOps ...

Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate ...

guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create data pipelines ...

Data Governance, Cloud Data Platforms, AI Enablement, and Enterprise Transformation, with particular focus on the Microsoft Data & AI ecosystem (Azure, Microsoft Fabric, Synapse, Purview, Databricks, Power BI and AI servicesHybrid working:The places that you work from day to day will vary according to your role, your needs, and those ...

Data Governance, Cloud Data Platforms, AI Enablement, and Enterprise Transformation, with particular focus on the Microsoft Data & AI ecosystem (Azure, Microsoft Fabric, Synapse, Purview, Databricks, Power BI and AI services Hybrid working: The places that you work from day to day will vary according to your role, your needs ...