101 to 125 of 542 Databricks Jobs in England

lead Agile teams to deliver 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. To be Considered: Please either apply More ❯

into logical data models * Exceptional enterprise architecture design expertise * Expert-level knowledge of the Microsoft data stack (e.g.): o Power BI o Azure Data Services o MS Fabric o Databricks o Azure Cosmos DB o Synapse Analytics o Azure Data Factory * Excellent analytical, problem-solving and documentation skills * Strong stakeholder/senior management communication skills with the ability to translate More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

Core AI Expertise Deep understanding of AI solutions, frameworks, and security, with the ability to apply them to real business challenges. Expertise in cloud data platforms and architecture (e.g. Databricks, Snowflake, Azure, AWS). Awareness of emerging technologies, regulatory trends, and developments in areas such as Agentic AI. Strong capability across key data domains including Data & AI Governance, Data Quality More ❯

Core AI Expertise Deep understanding of AI solutions, frameworks, and security, with the ability to apply them to real business challenges. Expertise in cloud data platforms and architecture (e.g. Databricks, Snowflake, Azure, AWS). Awareness of emerging technologies, regulatory trends, and developments in areas such as Agentic AI. Strong capability across key data domains including Data & AI Governance, Data Quality More ❯

principal capacity. Proven experience designing and governing complex, multi-cloud or hybrid solutions. Deep technical expertise in cloud, data, integration, and security architecture. Strong understanding of enterprise data platforms (Databricks, S3, Redshift), integration patterns (API Gateway, AppFlow, Logic Apps), and cloud-native services. Demonstrable leadership in delivering large-scale transformation or digital programmes. Proficiency in DevOps tooling (Terraform, GitHub, CodePipeline More ❯

Core AI Expertise Deep understanding of AI solutions, frameworks, and security, with the ability to apply them to real business challenges. Expertise in cloud data platforms and architecture (e.g. Databricks, Snowflake, Azure, AWS). Awareness of emerging technologies, regulatory trends, and developments in areas such as Agentic AI. Strong capability across key data domains including Data & AI Governance, Data Quality More ❯

Core AI Expertise Deep understanding of AI solutions, frameworks, and security, with the ability to apply them to real business challenges. Expertise in cloud data platforms and architecture (e.g. Databricks, Snowflake, Azure, AWS). Awareness of emerging technologies, regulatory trends, and developments in areas such as Agentic AI. Strong capability across key data domains including Data & AI Governance, Data Quality More ❯

Core AI Expertise Deep understanding of AI solutions, frameworks, and security, with the ability to apply them to real business challenges. Expertise in cloud data platforms and architecture (e.g. Databricks, Snowflake, Azure, AWS). Awareness of emerging technologies, regulatory trends, and developments in areas such as Agentic AI. Strong capability across key data domains including Data & AI Governance, Data Quality More ❯

analytical background, including experience with ESRI ArcGIS, Power BI, and FME, Excel. Knowledge of wastewater industry, capability in additional geospatial tools, analytical tools and data management (e.g. Python, SQL, Databricks, Azure Data Factory) will be beneficial. Proven ability to produce detailed management reports. High attention to detail with the ability to understand the wider business context. Strong communication skills and More ❯

running cost-effective serverless architecture. Experience working with Python, C#, and Angular. Strong interpersonal, communication, and presentation skills applicable to a wide audience. Experience with PyTorch, Scikit-learn, Go, Databricks, JavaScript, and Azure Pipelines is desirable, but not essential. Experience in leading software engineering efforts for AI-enabled SaaS products is desirable, but not essential. Why Join Us? Join our More ❯

an enterprise environment. Experience utilising Azure Data Factory and its capabilities for orchestration of ETL and ELT processes. Desirable to have experience of other analytical tools such as Azure Databricks, Azure Synapse Analytics. Experience and knowledge of data governance and compliance including the Data Protection Act and the General Data Protection Regulation. Significant experience in working with data and undertaking More ❯

an enterprise environment. Experience utilising Azure Data Factory and its capabilities for orchestration of ETL and ELT processes. Desirable to have experience of other analytical tools such as Azure Databricks, Azure Synapse Analytics. Experience and knowledge of data governance and compliance including the Data Protection Act and the General Data Protection Regulation. Significant experience in working with data and undertaking More ❯

experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/… and adaptability to client needs. Experience defining and enforcing data engineering standards, patterns, and reusable frameworks Professional certifications in relevant technologies (e.g. Microsoft Azure Data Engineer, AWS Data Analytics, Databricks Certified Professional Data Engineer) Skills Data Development Process Design, build and test data products that are complex or large scale Build and lead teams to complete data integration services integration More ❯

Data Engineer - Databricks Initial 7-month Contract Role Remote Working £600 - £650, Inside IR35 We're partnering with a Global IT Partner who are looking for a Data Engineer to design and develop scalable data pipelines in Azure Databricks. As a Data Engineer, you will be responsible for: Lead end-to-end migration of data lakes to Azure with a … core focus on Databricks Design and implement data pipelines in Azure Databricks, optimising for performance, cost, and scalability Refactor and modernise existing data models to integrate with Power BI Coordinate phased migrations to ensure zero disruption to live operations Replace legacy tools by consolidating workflows within Databricks and native Azure services Requirements: 10+ years in cloud data engineering, with a … strong focus on building scalable data pipelines Expertise in Azure Databricks, including building and managing ETL pipelines using PySpark or Scala Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics Proficiency in SQL and Python for data transformation and pipeline logic Please More ❯

in implementing end-to-end ML pipelines (data, training, validation, serving) Experience with ML workflow orchestration tools (e.g., Airflow, Prefect, Kubeflow) and ML feature or data platforms (e.g., Tecton, Databricks, etc.) Experience with cloud platforms (AWS, GCP/Vertex, Azure), Docker, and Kubernetes Solid coding practices (Git, automated testing, CI/CD). Proficiency with Linux Familiarity with time-series More ❯

Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. More ❯

Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details Experience required: Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management:Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

DATA HEAVY Product Owners who have managed complex, Global products. Read on for more details... Experience required: Technical proficiency: Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure is highly valued. Backlog management: Demonstrated expertise in maintaining and prioritizing product backlogs, writing More ❯

into a management (mentoring, coaching, team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering More ❯

across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused settings. Why Join? Work on meaningful security projects with real-world impact. Join a culture built More ❯

across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate confidently in highly secure, mission-focused settings. Why Join? Work on meaningful security projects with real-world impact. Join a culture built More ❯