1 to 25 of 254 ETL Jobs in the UK

a requirement for a SAP Finance Data Migration Lead to support this vision. You will need to work in a hands-on capacity with ETL (extract, transform and loading), and have an understanding of GL (general ledger), but also liaise with key stakeholders on the data migration strategy. You will … scale SAP programmes. Excellent stakeholder management skills and ability to liaise and consult with key stakeholders on the data migration strategy. Hands on with ETL (extract, transform and loading) Understanding of GL (general ledger). BODS experience/Functional FICO knowledge would be a benefit. more »

maintaining data architectures Leading projects and teams Ensuring data quality and integrity Preferred skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

business, data analytics, computer science, or information systems). Strong extensivework experience, ideally within a professional services environment. A deep understanding of data warehousing, ETL processes and data modelling. Expertise in database design and development in Azure SQL Server, Azure Data Warehouse, MS SQL Server and be proficient in creating 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 »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

Experience in multidimensional and/or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL/SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake more »

the data warehouse meets business needs and performance standards. Responsibilities: 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 … ensure proper integration of the data warehouse with other systems. 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. Requirements: Minimum 3-5 years experience developing and implementing … within financial services (ideally Consumer Credit). 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 »

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 »

Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »

Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »

servers, 20,000+ database instances, and over 150 PB of data. As a Spark Scala Engineer, you will have the responsibility to refactor Legacy ETL code, for example DataStage into PySpark using Prophecy low-code no-code and available converters. Converted code is causing failures/performance issues. Your responsibilities more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

Databricks best practices. - Maintain data integrity, security, and compliance with regulations like GDPR. - Manage data migration from legacy analytics data warehouses, data lakes, and ETL tools to Databricks within set deadlines. - Comfortable operating in all project phases, adjusting requirements, and supporting the transition from build and migration to production. - Serve more »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred Working knowledge of more »

platform, including knowledge about its architecture, services, and security measures. * Data Engineering: A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing. * Azure Data Services: Hands-on experience with Azure data services like Azure SQL Database, Azure more »

writing TSQL and performance tuning is essential. * Experience building BI solutions and dashboards using reporting and visualisation tools such as Power BI or SSRS. * ETL experience; experience with some of the following would be expected: o Microsoft SSIS o Microsoft Power Platform o Microsoft Fabric o Azure Data Factory o more »

of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered more »

to 5 years minimum experience working as a Data Engineer, utilising the following technologies, languages, tools and methodologies: - Databricks Python TSQL/T-SQL ETL Test Automation Unit Testing/Mocking Refactoring Agile/Scrum Methodologies Any experience working with the following is an advantage but is NOT essential: - PowerShell more »

Industry Sector Preferred Google Cloud Platform Time-Series Data Building Control and Monitoring Systems Java, Scala, Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. Deep understanding of data manipulation/wrangling techniques Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »

databases such as MongoDB, Cassandra, or Redis. Data Modelling: Expertise in designing conceptual, logical, and physical data models. Understanding of normalization and denormalization techniques. ETL (Extract, Transform, Load): Knowledge of ETL processes and tools to integrate data from various sources into a data warehouse or other storage systems. Data Warehousing more »

with the best data solutions. Working with and modelling data warehouses. Skills & Qualifications Strong technical expertise using SQL Server and Azure Data Factory for ETL Solid experience with Databricks, PySpark etc. Understanding of Agile methodologies including use of Git Experience with Python and Spark Benefits £65,000 - £75,000 Bonus more »