1 to 25 of 75 ETL Jobs in the North of England

needs. Strong stakeholder management and ability to lead change with stakeholders. Good project management skills Strong knowledge in Microsoft BI Stack Advanced SQL Knowledge ETL (Extract, Transform, Load) Expertise Experience of DAX and Power Query Report curation and data modelling. Be solutions focused. Ideally Social housing experience Why take up more »

some Python well and you'll be equipped to make changes at an architectural level too. You will also have full ownership of their ETL pipelines ensuring a really smooth flow of data through its transformations. Ideally you'll be a Cloud enthusiast too and know AWS, with a good more »

skills. Responsibilities required for the role of Data Warehouse Developer Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … with ad hoc requests such as reporting, hardware refreshes etc. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Experience required for the role of Data Warehouse Developer … Warehouse solutions for managing data and information Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with more »

governance, testing and deployment/support Recent experience of working with SQL, writing queries using multiple tables, and interpreting results Desirable: Experience working with ETL tools such as SSIS IT/Computer Science related degree or hands-on experience working in a Business Data/Master Data Management environment Benefits more »

aspects of creating design specifications, data modelling/conditioning/integration, improving data quality, data governance, testing and deployment/support Experience working with ETL tools such as SSIS IT/Computer Science related degree or hands-on experience working in a Business Data/Master Data Management environment more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

credentials What technical skills are required Ability to implement and use modern data platform concepts, frameworks and tooling, covering all data orchestration aspects from ETL/ELT data flows (including building out source-to-target mappings) to testing and service optimisation.) Good familiarity with our developing key services/applications more »

on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development Excellent SQL and strong hands-on scripting (bash, perl or python) ability Experience implementing AWS services in a variety of distributed more »

designing end user reports Strong management and leadership skills Experience and understanding of data architecture and infrastructure to include data pipelines, data warehousing and ETL Knowledge in supporting regulatory reporting and experience of data governance. If you are interested in the Business Intelligence Manager opportunity, please apply by Friday 31st more »

optimizing data processing performance Strength our data stack to bear the load of our ever expanding, data driven business Develop and maintain data models, ETL processes, and data warehousing solutions to support analytics, machine learning, and reporting Ensure data security and compliance with industry regulations and best practices Identify, analyse … data engineering Are an expert building complex and robust data architectures handling large amounts of data Have experience with data modelling, data warehousing, and ETL processes You'll get extra points for... Having the gaming industry experience Your experience as a Team Technical Lead/Delivery Manager Possessing high problem more »

and non-technical stakeholders. Requirements of the Principal GCP Data Engineer: Minimum of 7 years in Data Engineering roles Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines,... more »

experience supporting Housing Management Software systems, ideally NEC Housing. - Experience in the design and implementation of integrations to back-office systems. - Demonstrable experience in ETL and data migration. - Strong SQL scripting skills. Desirable Skills and Experience: - Excellent working knowledge and experience of NEC Housing Systems. - Sound knowledge of ICT solutions more »

victims of domestic violence. Key skills and experience required: Hands on extensive experience of SQL Server DBA Some experience of Azure Any experience with ETL toolsets Having worked as a DBA in multiple environments and be able to advise/lead on approaches to best practice. Given the sector the more »

Spark Architect/SME Contract Role- 6 months to begin with & its extendable Location: Leeds, UK (min 3 days onsite) Context: Legacy ETL code for example DataStage is being refactored into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Skills more »

Jenkins, GitLab CI, or AWS CodePipeline. Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or similar. Create and maintain ETL processes, data pipelines, and data integration workflows using AWS services. Implement data storage solutions, including data lakes, data warehouses, and operational databases. Provide technical leadership … depth knowledge of AWS data services, including but not limited to S3, RDS, Redshift, DynamoDB, Glue, Athena, Lambda, EMR. Proficiency in designing and implementing ETL processes, data pipelines, and data integration workflows. Strong understanding of data modelling, database design, and data warehousing concepts. Experience with data lake architectures and big more »

and data quality requirements. Mentor the Data Engineers in the team. Key Requirements: Significant experience and in-depth knowledge of data delivery; Datamodelling concepts, ETL procedures, and all steps of data production process Extensive hands-on experience in Informatica IICS, ADF, Warehousing technologies and associated patterns, Cloud platforms - Azure preferred more »

engineering solutions. Ensure the implementation, and maintenance of complex data engineering solutions to acquire and prepare data and that it adheres to Best Practice. (Extract, Transform, Load) Contributes towards and ensures the delivery of the creation and maintenance of data pipelines to connect data within and between data stores, applications more »

and non-technical stakeholders. Requirements of the Principal GCP Data Engineer: Minimum of 7 years in Data Engineering roles Demonstrated leadership experience. An extensive ETL/ELT background developing data pipelines, optimising queries, and enhancing overall database performance. Minimum of 3 years hands-on and expert proficiency in GCP (Google more »

part of a large-scale project to develop a new Data Warehouse. Responsibilities include: Being an SME in designing & building the Data Warehouse Customising ETL procedures, data mappings, and transformations to coordinate data integration Documenting solutions, tools and processes Implementing validation procedures to ensure high quality of data Collaboration with more »

Document source-to-target mappings. Re-engineer manual data flows to enable scaling and repeatable use. Support the build of data streaming systems. Write ETL/ELT scripts and code to make sure the process performs optimally. Develop data models to support self-service business intelligence reporting that can be more »

and develop solutions for the wider business, from a regional nd global perspective. ideally you will have experience in : Designing, building, and maintaining robust ETL (Extract, Transform, Load) pipelines Optimising data flow and collection for cross-functional teams Implementing solutions to automate business processes, enhancing efficiency and accuracy Leveraging Azure more »

areas: Communicate and collaborate with stakeholders and senior members of the team in the creation of data dictionaries and BI solution documents Extract, transform, and load data from various sources into the data warehouses Perform data manipulation tasks Support in the development of data visualization Conduct data analysis to identify … solutions Stay-up-to-date with the latest BI trends, tech and tools Requirements: SSRS/Power BI SQL some knowledge of SSMS/ETL Next Steps: If you are a Junior BI Developer and you are looking to progress with an organization that has a fantastic approach to work more »

specifications. Design, develop, and maintain robust and scalable BI solutions using industry-leading tools and technologies. Build and optimize data models, data warehouses, and ETL processes to ensure accurate and efficient data integration. Develop interactive dashboards, reports, and visualizations to provide actionable insights to business users. Perform data profiling, cleansing … optimize query response times and system efficiency. Skills: Proven experience as a BI Developer or similar role, with a strong understanding of data warehousing, ETL processes, and data visualization techniques. Proficiency in SQL programming and expertise in working with relational databases (e.g., SQL Server, Oracle, MySQL). Hands-on experience more »

out of those specifications and work closely with business and technical unit to ensure a common understanding of requirements Support to AbInitio (MDHub, DQE & ETL) and database environments. Create the Low Level Design specifications and Implement these in AbInitio and db environments. Work closely with product vendors in case defects more »

levers, and lead metrics for performance improvement. Develop and create the data sets needed for BI and analytics including, where needed, the data repositories, Extract/Transform/Load routines and validation mechanisms needed to underpin reporting and analysis. Establish the integration with other databases and systems in conjunction with more »