1 to 25 of 473 Remote/Hybrid Databricks Jobs in England

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 ...

container orchestration (Kubernetes, Docker). Certifications & Tools Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau). Experience with modern data platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and experience with cloud‐native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow). Other Requirements Minimum ...

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 ...

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 ...

container orchestration (Kubernetes, Docker). Certifications & Tools Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau). Experience with modern data platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and experience with cloud-native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow). Other Requirements Minimum ...

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/ ...

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 ...

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 ...

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 ...

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 ...

rewarding role, career development, training, an empowered and supportive working environment, and competitive reward package. About you Technical Skills Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure SQL Database and SQL Server Microsoft Fabric (preferred) Advanced SQL development and performance tuning skills Experience ...

.* 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. ...

data domains.SAP, S/4HANA, Fiori or enterprise finance platforms.Data products supporting AI, machine learning or generative AI use cases.Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms.Experience operating within Agile product teams.ExpectationsLead significant technical workstreams independently.Make key engineering and design decisions.Influence technical direction across multiple teams.Mentor engineers ...

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. ...

Infrastructure‐as‐Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years’ experience working on data engineering ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

solutions and operations, enabling ethical, scalable, and domain-driven AI adoption. We partner with industry leaders including Oracle, Salesforce, Microsoft, AWS, Snowflake, and Databricks, delivering outcomes across sectors such as Healthcare, Financial Services, Retail, Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity ...

data modelling techniques. Experience implementing and supporting CI/CD practices, version control frameworks and collaborative development methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with ...

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles ...