1 to 25 of 597 Permanent Databricks Jobs in the North of England

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

pipelines, managing data infrastructure, and supporting data products across various cloud environments, primarily Azure. Key Responsibilities: Develop end-to-end data pipelines using Python, Databricks, PySpark, and SQL. Integrate data from various sources including APIs, Excel, CSV, JSON, and databases. Manage data lakes, warehouses, and lakehouses within Azure cloud environments. More ❯

teams effectively. Inquisitive with an eagerness to learn. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps More ❯

of data warehousing and data governance. **Preferred Qualifications:** - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with cloud-native data platforms (e.g., Databricks). - Understanding of data privacy regulations (e.g., GDPR). #J-18808-Ljbffr More ❯

of data warehousing and data governance. Preferred Qualifications: Knowledge of DevOps practices and CI/CD pipelines. Familiarity with cloud-native data platforms (e.g., Databricks). Understanding of data privacy regulations (e.g., GDPR). #J-18808-Ljbffr More ❯

Azure environments. Excellent problem-solving and communication skills. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps More ❯

Azure environments. Excellent problem-solving and communication skills. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps More ❯

Azure environments. Excellent problem-solving and communication skills. Preferred Qualifications Experience with additional Azure services like Azure Data Lake , Azure SQL Database , or Azure Databricks . Familiarity with Infrastructure-as-Code (IaC) practices. Strong knowledge of data governance and security best practices in the cloud. Previous experience in a DevOps More ❯

in tools like PowerBI. Experience & Knowledge: Extensive experience in end-to-end cloud data solutions, preferably in Azure. Experience with big data technologies like Databricks and/or Synapse Analytics using PySpark. Solution design experience across the data lifecycle. Proficiency with Azure services such as Data Factory, Azure Functions, ADLS More ❯

Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks Knowledge of test automation frameworks and ability to automate testing within the pipeline To discuss this or wider Technology roles with our recruitment team, all More ❯

Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Desirable: Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline More ❯

to Python or any other object-oriented programming languages Experience with modern data stack tools and cloud-based data warehouses like MS Fabric, Snowflake, Databricks, Teradata or AWS Experience in designing and constructing effective reports and dashboards that transform data into actionable insights with Tableau or Power BI Proven ability More ❯

Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Desirable: Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline More ❯

issues Strong analytical and problem-solving skills Strong teamwork, interpersonal and collaboration skills with colleagues and clients Experience with Cloud ETL tools such as Databricks/Snowflake, Spark and Kafka Experience using source control tools such as GitHub or Azure DevOps Experience with Azure DevOps for CI/CD pipeline More ❯

Design, build, and test data products from multiple sources Implement data modeling concepts and create unit tests Desired Qualifications include certifications in AWS, Azure, Databricks, or related technologies, experience with public sector data initiatives, and knowledge of AI/ML concepts. #J-18808-Ljbffr 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 for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for More ❯

tasks 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 ❯

ELT processes. Experience with Python or similar object-oriented languages. Familiarity with modern data stack tools and cloud data warehouses like MS Fabric, Snowflake, Databricks, etc. Experience creating reports and dashboards with Tableau or Power BI. Ability to manage work deadlines and communicate progress effectively. Ability to understand stakeholder needs More ❯

committed to making Homes England a Data-led organisation. To deliver this you will be using the latest tools and technologies such as Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Azure DevOps and Terraform alongside languages such as Python, PySpark and SQL. Deploying pipelines through CI/CD More ❯

experience in programming languages such as Python or Java. Experience with the Microsoft Azure ecosystem is essential, including proficiency with Azure Data Factory and Databricks, as these tools are integral to managing data within the UDAL platform. Data Quality and Governance: Experience in implementing data quality controls, data cleansing routines More ❯

DE_1746406912 Job Views: 45 Posted: 05.05.2025 Expiry Date: 19.06.2025 col-wide Job Description: Data Engineer - Leading Pharmaceutical Company - Manchester (Tech Stack: Data Engineer, Databricks, Python, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies) About the Role: We are seeking a talented and experienced Data Engineer on behalf of More ❯

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 to ingest, store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code More ❯