1 to 25 of 108 ETL Jobs in South Wales

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 ❯

of DevOps, CI/CD, and modern software development practices. Solid experience with Python (especially data and machine learning libraries). Experience working with ETL platforms and cloud-based data engineering tools (AWS, Azure, or OCI). Excellent communication skills and a solutions-focused mindset. Desirable experience includes: AWS or 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 ❯

a full cloud migration. 🔧 Key Responsibilities Manage and enhance cloud-based data infrastructure (Azure) across multiple international markets Own the development and performance of ETL pipelines, ensuring integrity and consistency Lead the migration of legacy environments into Azure Cloud Maintain and synchronise Dev, Test, and Production environments using DevOps principles 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

in: Azure Data & AI services (e.g., Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse) Programming with Python for data and AI workloads Data pipelines, ETL/ELT processes, and analytics foundations App development techniques to integrate AI capabilities Working in secure, enterprise-ready cloud environments Consulting fundamentals and effective customer More ❯

data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/ More ❯

We integrate data from Dynamics 365 (CE & F&O) and other sources, building efficient data structures to support analytical insights. By developing and optimizing ETL/ELT pipelines, we ensure data accuracy, consistency, and performance across the warehouse. Leveraging Azure Data Services such as Synapse, Data Factory, and SQL Server … design, build, and maintain an internal data warehouse using the Kimball methodology. The ideal candidate will have expertise in creating fact and dimension tables, ETL processes, and ensuring data integrity. Experience with Dynamics 365 CE & F&O is highly desirable. KEY DUTIES AND RESPONSIBILITIES Design and implement a Kimball-style … data warehouse architecture, including fact and dimension tables. Develop and optimize ETL/ELT pipelines to integrate data from Dynamics 365 (CE & F&O) and other sources. Collaborate with business stakeholders to define key business metrics and reporting needs. Ensure data quality, consistency, and performance across the warehouse. Work with More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

business/data analyst role, ideally in a consultancy or commercial setting. - Strong analytical, problem-solving, and communication skills. - Experience with operational data processes, ETL, data warehouse migration, schema mapping, and MI/BI reporting. - Proficient in tools such as JIRA, Confluence, Asana, Miro, and Excel. - Familiarity with Agile (SCRUM More ❯

OAC). Should be aware about process of creating Semantic data model in FDI. Proven experience in data modeling, data extraction, transformation, and loading (ETL) using Oracle Cloud tools Hands-on experience in creating dashboards, KPIs, custom reports, and visual analytics for Finance, Supply Chain, and HCM modules Strong understanding More ❯