17 of 17 Permanent ETL Jobs in Central London

data pipelines on the Azure platform. Develop and deploy data ingestion processes using Azure Data Factory, Databricks (PySpark), and Azure Synapse Analytics . Optimise ETL/ELT processes to improve performance, reliability and efficiency. Integrate multiple data sources including Azure Data Lake (Gen2), SQL-based systems and APIs. Collaborate with ...

Acceldata, and data governance/quality platforms like Informatica, Collibra or Microsoft Purview is highly desirable. Experience within the Azure ecosystem (data lakes, ETL/ELT pipelines) would be a strong advantage. Working across Data Engineering and Data Governance teams, youll help shift the organisation from reactive issue resolution ...

highest levels. Job Responsibilities Data Engineering Own the architecture, quality, and scalability of Proximie's data platform. Lead the team building and maintaining ETL/ELT pipelines, data warehousing, and analytics infrastructure. Set engineering standards, tooling decisions, and technical direction across the data stack (Python, SQL, DBT, AWS: S3, Glue ...

data modelling and SQL Server/database design expertise. Experience designing modern Microsoft data platforms, ideally Microsoft Fabric or Databricks. Strong understanding of ETL, Azure Data Factory, data warehousing and Lakehouse architectures. Background within Financial Services, with exposure to investment data highly desirable. Excellent stakeholder management skills with the ability ...

organisation through training and internal champions Ensuring GDPR compliance and robust data security controls throughout Essential Experience: Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture Experience managing vendors delivering hosted or managed data warehouse solutions Ability to design and implement governance frameworks ...

perspective will lie with the Technical Product Owner. Data Platform Ownership Coordinate the delivery and maintenance of:Data Warehouse Management (Snowflake), Batch & Real-Time ETL Pipelines Ensure all data pipelines are reliable, performant, and aligned with defined SLAs. Advocate for data quality, consistency, and documentation across the DE ecosystem. Collaboration ...

curation for large-scale datasets Preferred Qualifications Knowledge or interest in investment banking or financial instruments Experience with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka ABOUT GOLDMAN SACHS At Goldman Sachs, we commit ...

Analytics, Mathematics, or related field.Actuarial Knowledge: Strong understanding of Commercial Insurance actuarial concepts (e.g., reserving methods, pricing tools)Data Proficiency: Experience with data environments, ETL and visualization toolsLeadership: Demonstrated experience leading Agile teams and managing product backlogs.Soft Skills: Excellent communication skills, with the ability to translate technical concepts ...

and modern data platform technologies. Expertise in data architecture, data warehousing, and large-scale data platforms. Strong knowledge of Data Mesh , database design, and ETL/ELT methodologies. Experience designing scalable, secure, and governed data solutions. Understanding of data security, compliance, and GDPR requirements. Excellent analytical and problem-solving abilities. ...

technical designs. Professional Experience required Good experience with Collibra in a development or integration role. Preferred Qualifications Collibra Professional Certification(s). Experience with ETL tools (Informatica, Talend, etc.) or data integration frameworks. Knowledge of data cataloging, metadata management, and data stewardship practices. Exposure to cloud platforms (Azure preferred) and ...

across distributed systems Domain knowledge of investment operations, asset management workflows, or financial data platforms Comfortable with configuration‐driven platforms; experience with data integration, ETL, and workflow orchestration Strong communication skills; ability to hold technical conversations with senior client stakeholders Experience mentoring engineers and embedding quality standards in delivery teams ...

processing Provide technical leadership and guidance to cross-functional teams, ensuring best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large ...

data domains, ensuring alignment with enterprise architecture standards Design and implement scalable Master Data Management frameworks and integration patterns Architect data ingestion pipelines and ETL processes integrating multiple source systems into an MDM hub Define matching, merging and survivorship rules to ensure trusted master data Establish data quality frameworks including ...

designing and evolving data systems that power Tier 1 datasets, improving reliability, reducing technical debt and modernizing legacy workflows. This includes building advanced ETL pipelines, implementing intelligent automation and developing robust data quality controls and monitoring frameworks to ensure data accuracy, completeness and timeliness. In addition, you will play … takes ownership of both data systems and data quality outcomes, and uses modern technologies including AI and machine learning to enhance data workflows and extract additional value from our datasets. We'll trust you to: Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities datasets Modernize ...

considerations.Advanced integration expertise: end-to-end integration architecture across SaaS-to-SaaS and on-premise systems — API lifecycle management, iPaaS/ESB, MuleSoft, batch ETL/ELT, REST, OData, Kafka, pub-sub and event-driven integration, micro-service and platform integration patterns.Advanced data architecture expertise: operational vs analytical architectures, Master ...

This is not a paper-architect role. The successful candidate will pick up an in-flight, multi-year programme to decouple and replatform the ETL processes that sit behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake …/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell development at expert level partition design and partition-aligned indexing, clustered/nonclustered index strategy, deduplication, parallel-run cutovers, schema migration, performance ...

will own end-to-end data systems, driving data quality, reliability, and scalable workflows across Tier 1 datasets. You will design and modernize ETL pipelines, implement robust monitoring, and define governance practices. Collaboration with Product, Engineering, and data stakeholders is essential to deliver high‐impact solutions that align with Bloomberg ...