1 to 25 of 53 Databricks Jobs in Derbyshire

will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for More ❯

responsibilities include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

and Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

systems Qualifications & Skills: x5 + experience with Python programming for data engineering tasks Strong proficiency in SQL and database management Hands-on experience with Databricks and Apache Spark Familiarity with Azure cloud platform and related services Knowledge of data security best practices and compliance standards Excellent problem-solving and communication More ❯

SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design More ❯

architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

into higher tier environments Must have requirements: Python SQL ? Bonus points for experience with: DBT IaC - e.g. Terraform or Pulumi Data warehousing experience - e.g. Databricks other Azure services such as Azure Fabric, Data Factory ? Please note : unfortunately, this role does not offer VISA sponsorship. #J-18808-Ljbffr More ❯

SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design More ❯

and resolve issues reported in live systems to ensure minimal downtime Document migration processes and provide regular progress updates Essential skills Strong experience with Databricks Proficient in SQL for data querying and transformation Solid understanding of Azure Services including: Azure Data Factory Azure Storage Containers Lakehouse architecture Expertise in PySpark More ❯

and resolve issues reported in live systems to ensure minimal downtime Document migration processes and provide regular progress updates Essential skills Strong experience with Databricks Proficient in SQL for data querying and transformation Solid understanding of Azure Services including: Azure Data Factory Azure Storage Containers Lakehouse architecture Expertise in PySpark More ❯

col-narrow-right Job Views: 3 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Data Analytics Senior Sales Consultant – Data Analytics, snowflake, talend, databricks, salesforce, hubspot, SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache More ❯

SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, data dashboards. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design More ❯

modelling, data dashboards. Building/optimising data pipelines and integrations across cloud platforms. Any cloud platforms experience would be helpful including: such as Snowflake, Databricks, BigQuery, Azure SQL. Working closely with key stakeholders including data architects, analysts, testers and managers. Working across the full SQL development life-cycle including: design More ❯

skills including MS SQL Server, T-SQL, indexing, stored procedures, relational/dimensional modelling, and data dashboards. Experience with cloud platforms such as Snowflake, Databricks, BigQuery, Azure SQL is helpful. Collaborating closely with stakeholders including data architects, analysts, testers, and managers. Managing the full SQL development lifecycle: design, development, documentation More ❯

to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to More ❯

to consolidate data from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to More ❯

challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines More ❯

challenges and craft tailored solutions using Microsoft Fabric. Lead the design of cutting-edge data architectures that integrate tools like Azure Synapse, Data Factory, Databricks, and Power BI. Drive end-to-end solution delivery—from concept to deployment—ensuring performance, scalability, and seamless integration. Build intelligent data models and pipelines More ❯