10 of 10 ETL Jobs in South London

months. It is also fully remote. Key Responsibilities • Design, develop, and maintain batch and streaming data pipelines using Databricks (Apache Spark) • Build and optimize ETL/ELT workflows for large-scale structured and unstructured data • Implement Delta Lake architectures (Bronze/Silver/Gold layers) • Integrate data from multiple sources ...

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 ...

strong sense of ownership Motivation to learn quickly in a fast-paced startup environment Nice to Have Exposure to data engineering or analytics concepts (ETL, data modelling, analytics engineering) Familiarity with tools such as PySpark, Airflow, dbt, or Databricks Experience working with business systems (ERP, CRM, operational data) Interest ...

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 ...

hard to deliver That Superdrug feeling. Here's the exciting bit... A day includes: The BI Developer designs and delivers dashboards, data models, and ETL processes that provide actionable insights to the business. Reporting to the Lead BI Developer, this role contributes to the organisations ability to make data-driven ...

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). ...

and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration & Leadership Collaborating closely … first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system design skills Comfortable working with large datasets and ETL-style workflows Experience writing well-tested, maintainable code Ability to work autonomously and take ownership of complex systems Highly Desirable Experience with geospatial data and formats ...

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 ...