1 to 25 of 153 ETL Jobs in Hampshire

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

services. Knowledge of using PySpark in notebooks for data analysis and manipulation. Strong proficiency with SQL and data modelling. Experience with modern ELT/ETL tools within the Microsoft ecosystem. Solid understanding of data lake and lakehouse architectures. Hands-on experience with Power BI for data integration and visualisation. Familiarity More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

interactive Power BI dashboards, reports, and data visualizations that meet the needs of stakeholders across various departments. • Data Management & SQL Querying: Utilize SQL to extract, transform, and load (ETL) data from various sources into Power BI. Write complex SQL queries to analyze large datasets and ensure data integrity and accuracy. More ❯

IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse More ❯

IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse More ❯

IF YOU ARE Experienced with Python/PySpark Proficient working with Databricks Lakehouse architecture and principles Having 2+ years of designing data models, building ETL pipelines, and wrangling data to solve business problems Experienced with Azure cloud technologies Modern Data Estate such as Azure Data Factory, Azure DevOps, Azure Synapse More ❯

collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address the customer’s data visualization needs Ready to dive into a customer's subject More ❯

collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address the customer’s data visualization needs Ready to dive into a customer's subject More ❯

collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address the customer’s data visualization needs Ready to dive into a customer's subject More ❯

and deliver sustainable solutions. Monitor and troubleshoot data pipeline issues to maintain data integrity and accuracy. Assist in the development, maintenance, and optimization of ETL (Extract, Transform, Load) processes for efficiency and reliability. Project & Improvement: Assist in gathering, documenting, and managing data engineering requirements and workflows. Contribute to the development … reviews of designs, prototypes, and other work products to ensure requirements are met. Skills & Experience: Essential: Basic understanding of data engineering concepts, such as ETL processes, data pipelines, and data quality management. Hands-on experience with SQL (e.g., writing queries, basic database management). Familiarity with data tools and platforms More ❯

using Azure D&A stack, Databricks, and Azure OpenAI solutions. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks or Microsoft Fabric. Implement scalable solutions to ingest, store, and transform vast datasets, ensuring data availability and More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

reporting development (advanced/expert levels only). Key Tools & Technologies Visualization Tools: Tibco Spotfire, Tableau, Power BI, or QlikView Data Management & Querying: SQL, ETL pipelines, Data Warehousing (e.g., ODW) Scripting/Programming: Iron Python, R, R Shiny, SAS Collaboration & Platforms: SharePoint, clinical trial data platforms Qualifications Entry Level: Bachelor More ❯

to offices and client sites Employment: Permanent, Full-time What You'll Actually Be Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and More ❯

to offices and client sites Employment: Permanent, Full-time What You'll Actually Be Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and More ❯

to offices and client sites Employment: Permanent, Full-time What You'll Actually Be Doing: Designing, developing, and deploying robust Azure data solutions including ETL pipelines, data warehouses, and real-time analytics. No fluff, just solid engineering. Turning complex client requirements into clear, scalable Azure solutions alongside experienced Architects and More ❯

from multiple organisational SQL databases and SaaS applications using end-to-end dependency-based data pipelines, to establish an enterprise source of truth. Create ETL and ELT processes using Azure Databricks, ensuring audit-ready financial data pipelines and secure data exchange with Databricks Delta Sharing and SQL Warehouse endpoints. Governance … Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark, Spark SQL. Good working More ❯

meet current best practices and internal standards. Work closely with project managers and technical leads to integrate new enterprise data sources into ongoing projects. ETL Development Develop robust, automated ETL (Extract, Transform, Load) pipelines using industry-standard tools and frameworks, prioritizing scalability, reliability, and fault tolerance. Essential Skills & Experience Strong … ESRI, 3GIS, Bentley, Hexagon, Crescent Link, CadTel, etc.). Experience with business requirement analysis and the development of reporting and analytics structures. Familiarity with ETL solutions, including experience with SAFE FME, is highly desirable. Strong knowledge of data privacy regulations and practices. Exposure to analytics and reporting tools is considered More ❯