9 of 9 ETL Jobs in South London

beneficial but not essential. Key Responsibilities Design and deliver scalable data pipelines using Azure Databricks, Azure Data Factory, and Azure SQL Build and maintain ETL/ELT processes and data quality frameworks Develop consistent data models and analytics-ready datasets Partner with stakeholders to deliver effective data solutions Produce technical ...

Exposure to multi-platform integration (MS tools preferred). On premise SQL environments, legacy SSIS, SSRS and other SQL-related technologies employed in complex ETL or ELT patterns Synapse Link for Dataverse Dataverse, Data Flows, Cloud Flows, DAX and Power Platform implementations Synchronisation methods for Synapse and Fabric from D365 ...

quantitative discipline. Postgraduate an advantage. Experience with financial data sets Very strong Python, with emphasis on data engineering and systems programming. Good understanding of ETL processes, databases and other data management tools such as data lakes and DBT. Some exposure to DB Engine operation. Clustering, performance tuning, backups. Linux/ ...

Oracle Analytics Cloud (OAC dashboards, DV, RPD/semantic modelling). Experience with Autonomous Data Warehouse (ADW) and Oracle Fusion data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. ...

experienced SQL DBA with an in-depth knowledge of designing and managing robust database systems, database administration/configuration, SQL Server, Cloud - Azure, and ETL pipelines The salary expectation for the SQL Database Administrator: * Salary: £55,000 - £60,000 per annum * 25 day's holiday * Pension Plan * Flexible working * Hybrid ...

Integration architecture Event-driven architecture patterns (distributed design patterns more generally is an advantage) API design, management, and governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient ...

delivering secure, scalable data solutions. Key Responsibilities Design and implement data pipelines on AWS using services such as Glue, Lambda, S3, and Redshift. Develop ETL processes and optimise data workflows for performance and security. Collaborate with analysts and architects to ensure compliance with government security standards. Troubleshoot and resolve issues … Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. Excellent communication and problem-solving skills. Active SC clearance (mandatory). ...

Real Time Monitoring and Predictive AI Key responsibilities: Design and maintain scalable data pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and … services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models into production workflows (batch or real ...

and optimise data usage Ensure data quality, governance and compliance standards are met across all data assets Support data exchange and processing solutions including ETL, APIs and integration layers Contribute to the ongoing improvement of data platforms and architectures Stay up to date with emerging technologies and provide input into … technologies such as MS SQL or Oracle Experience with noSQL technologies such as MongoDB, InfluxDB or Neo4J Strong data exchange and processing experience including ETL, ESB and API-based integrations Development experience, ideally using Python Knowledge of big data technologies such as the Hadoop stack Exposure to NLP and ...