1 to 9 of 9 Permanent ETL Jobs in the City of London

their next step in their career and wants to take on more responsibility. Technical Skillset: Experience as a data engineer developing and maintenance of ETL/ELT processes Good experience in Data Modeling within a cloud-based data platform Strong experience with SQL Server Azure data engineering stack, including 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 »

strong ability to learn new skills quickly. Key responsibilities include designing and developing scalable data models and warehouses, creating and maintaining database objects, and ETL processes for loading data into Snowflake. Proven proficiency in SQL, database optimisation, and effective database security implementation is a must (working closely with Data Science … modelling skills. Knowledge of the Data Engineering and ML capabilities within either Azure or AWS Familiarity with DataOps concepts and data mining Experience with ETL processes and data integration. Experience with Python Familiarity with cloud data warehousing concepts. Strong problem-solving and communication skills Proficiency in scripting for automating deployment more »

to meet statutory requirements and supply information for external auditors as necessary. Facilitate the rollout of Alteryx Server across Finance teams, optimising workflows. Utilise ETL tools to automate data storage and streamline processes. Design and implement best practices, guidelines, and repeatable processes for technology use. Skills & Experience: Strong educational background. … of financial terms and definitions. Interest in sports and betting. Skilled in SQL for modelling and querying relational databases, ensuring best practices. Knowledge of ETL tools. Professional and positive attitude with excellent time management, organisational, and multi-tasking abilities. Proactive and innovative, capable of identifying process improvements and assisting in more »

Essential criteria: Enterprise-level experience of SQL, Shell/BASH, Linux and command line Enterprise-level experience in developing and enhancing efficient, scalable, automated ETL/ELT pipelines including error handling, re-start and data quality Experience of translating technical concepts into non-technical language You understand how to communicate more »

following continuous growth and success. As a Data Engineer you will be involved in: Design, develop, test and support data collection, data integration and ETL applications to make information and data available to key client stakeholders and technical interfaces Model data requirements, data sources and data flows to bring order … a solid understanding of programming languages along with experience of applying them in your previous role Experience in using Data Engineering tools and technology ETL tools including Python and a number of the Big Data Applications. Rather than specifying a list of technologies we look for, demonstrable ability in what more »

Functions and Stored Procedures to optimise database operations - Utilise Reporting Services (SSRS) and Integration Services (SSIS) for data handling and reporting - Design and maintain ETL/ELT pipelines using modern tools to support data integration and transformation - Leverage Azure cloud services to enhance database performance and scalability Skills and experience … required: - Proven experience of the MS SQL Server Stack (SSIS, SSRS, SSAS) - Experience in SQL coding for development purposes - Proficient in building and maintaining ETL pipelines - 2-4 years experience in a similar SQL Development role within either Financial Services/Accounting/Professional Services - CCH Central experience would be 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 »

Base Azure or AWS or GCP Python/PySpark Proficiency in SQL and/or similar data technologies Familiarity with data pipeline tools and ETL processes Knowledge of cloud platforms and data architecture Additional Skills: Excellent communication and stakeholder management skills Ability to translate complex data into actionable insights. Strong more »