26 to 50 of 96 ETL Jobs in Central London

technical stakeholders. Desirable Proficiency in SQL and experience with relational databases Experience with Python, R, or other data analysis tools Familiarity with ETL (Extract, Transform, Load) processes Experience with data governance frameworks Background in CRM systems or marketing automation platforms IAPP certification (CIPP/E or CIPM) or similar data ...

security and configuration services (AKS experience is beneficial) Integrate and optimize data processing frameworks with Spark, Databricks, or Cloudera platform (Hue, Hive, HDFS) Support ETL pipelines built for master data management, customer profiles, and consent management workflows Ensure environments are stable, secure, and optimized for high-volume data flows across ...

and release management. Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security. Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures. Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback). Consulting leadership: stakeholder, budget and risk ...

Experience with Snowflake or similar cloud data platforms is essential Familiarity with Medallion architecture, including bronze, silver, and gold data layers Understanding of SQL, ETL/ELT processes, data pipelines, and cloud data warehouse concepts Pharmaceutical experience is highly desirable Experience documenting data flows, tables, views, stages, lineage, and data ...

and curation for large-scale datasets Preferred Qualifications Knowledge or interestin 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 ...

Google Cloud Platform (GCP) and comparable cloud-based data engineering services • dbt • Python • SQL • ETL/ELT tooling and methodologies • Data modelling and data product development • AI-enabled data development • Testing and validation frameworks • Master Data Management (MDM), including commercial off-the-shelf and bespoke solutions • MDM integration and implementation ...

Analytics in London is seeking an AWS Data Engineer to join our hybrid team. You will design, build and optimise scalable data pipelines and ETL/ELT processes, using Python, SQL and Spark to manage large consumer datasets. You will collaborate with analytics and data science teams, apply AWS data ...

rules. Build interactive dashboards, reports and data visualisations. Develop allocation models, calculations and workflow processes. Integrate BOARD with ERP and other enterprise systems using ETL and data integration tools. Support data migration, testing and deployment activities. Deliver user training and provide post-go-live support. Recommend improvements to planning processes ...

warehouse and the data quality framework. Keep the warehouse up to date and exceeding data quality targets Monitor, investigate and resolve issues with the ETL and reporting processes Oversee the execution of scheduled analyses, reporting and model processes and automate repeat tasks using available SQL & BI tools Log work requests ...

filters, and drill-through functionality. Ensure consistency of data across source systems, data warehouse, and reports. Perform report reconciliation and data accuracy checks. Validate ETL processes and data transformations. Verify data movement from source systems to reporting layers. Execute database and SQL-based validation tests. Identify data quality issues and ...

Data & Cloud SQL/NoSQL databases — Snowflake Cloud platforms: AWS (S3, RDS, Glue), Azure (ADLS, Purview), GCP (BigQuery) Data cataloguing tools — Collibra, Alation, Informatica ETL pipelines and data lineage concepts Security & Privacy SIEM/DLP tools integration (Splunk, Microsoft Purview) Identity & Access Management basics (IAM, RBAC) Encryption, tokenization, and data ...

Contribute to Disaster Recovery planning and platform resilience. Implement Identity and Access Management (IDAM) and enterprise security architecture. Support data architecture using Databricks, Snowflake, ETL pipelines, and Big Data tools. Champion Data Governance practices including classification, cataloging, and lineage. Ensure compliance with ISO 27001, GDPR, PCI DSS, and other security ...

solutions on the Databricks Lakehouse Platform Strong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practices Experience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use cases Proven knowledge of data modeling, data governance, data quality ...

applications Data Engineering & Integration Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content Develop ETL processes for preparing training data and maintaining knowledge bases Create APIs and microservices to integrate AI capabilities into existing trading and risk platforms Optimize data ...

and optimize scalable data pipelines using Databricks, PySpark, Python and SQL, gaining hands-on experience with Delta Lake and lakehouse architectures. You will build ETL/ELT workflows, monitor performance, mentor juniors and contribute to cloud data platforms across AWS, Azure or GCP, with a focus on reliability, quality data ...

include: Designing, building and maintaining production data pipelines across the lending lifecycle Developing, deploying and maintaining AWS Lambda-based decisioning processes Building and improving ETL/ELT workflows that support analytics, reporting and credit decisions Managing APIs and data integrations across internal and external data sources Improving monitoring, reliability, testing ...

upstream and downstream systems. Lead and support data migration projects, including planning, execution, validation, and reconciliation between source and target systems. Build and orchestrate ETL/ELT pipelines using Azure Data Factory (ADF). Write and optimize SQL queries, stored procedures, and views for relational data processing and reporting. ...

have strong experience across several of the following areas: Python software development AWS and cloud-based data technologies Designing and building scalable data pipelines ETL and ELT processes Data architecture and data modelling Distributed data processing Cloud‐native engineering CI/CD pipelines and automated deployment Infrastructure as Code Technical ...

related field, or equivalent practical experience Demonstrate strong Python programming skills Design, develop, and integrate RESTful APIs, such as with FastAPI Build and support ETL and data pipeline engineering workflows Apply Infrastructure as Code practices, such as Terraform, and work within CI/CD pipelines Design and integrate databases and ...

away from legacy technologies. Experience of creating and selling a business case for technology investment. Track record of architecting modern platforms using APIs, EAI, ETL and web services. Experience in solution or enterprise architecture, including designing and delivering production AI, machine learning or large-scale distributed systems. Hands-on expertise ...

report design and development skills. Ability to manage priorities and deliver work to agreed deadlines. Strong communication and influencing skills. Knowledge of SSIS/ETL, SQL Server Data Tools, SQL Server data warehousing, Excel BI add-ons and SharePoint is desirable. Experience maintaining or developing custom applications and integrations with ...

Azure to Google Cloud Platform (GCP). Demonstrable experience mapping and migrating Azure services to their GCP equivalents. Experience migrating data warehouses, data lakes, ETL/ELT pipelines, and associated datasets from Azure into GCP environments. Strong understanding of Azure data services and the GCP ecosystem. Experience planning, executing, testing ...

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 ...

extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/B testing) preferred ...

Experience tuning retrieval quality- chunking strategy, embedding choice, retrieval evaluation. Structured and time-series data-quality experience (coverage gaps, nulls in critical columns). ETL pipelines and fluency in SQL. Previous experience working with investment professionals in a fast-paced environment. Working knowledge of Snowflake, Linux/UNIX, Git, Jira. ...