76 to 83 of 83 Amazon S3 Jobs in the City of London

champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact: Build AI tools that traders and … roles. Strong programming skills in Python; passion for code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital market environments. Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Passion for being hands-on while enabling and growing a small engineering team. Nice to Have More ❯

champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Dfferent Direct Impact: Build AI tools that traders and … programming skills in Python; passion for code quality and testing. Demonstrable experience applying Generative AI concepts (ideally in a front-office/capital market environment) Experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, API Gateway, Step Functions, MSK, CloudFormation). Experience working in a fast-paced front-office environment in either engineering or analytical roles. Passion More ❯

for modelling • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding … for modelling • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding More ❯

e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering best practices including Git-based version control and CI/CD Requirements 3–7 years of experience in data or software engineering Strong Python programming … skills (Java or C# a plus) Hands-on experience with AWS (S3, ECS, Postgres) Understanding of Kafka, orchestration, and distributed data systems Experience in energy trading, commodities, or financial analytics preferred Strong communication skills and collaborative mindset A builder’s mentality — curious, hands-on, and eager to innovate Why Join You’ll be part of a high-performing engineering More ❯

deep, lasting impact on both the product and the business. Primary Responsibilities Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster). Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features. Develop … progression Are a hands-on leader who can both build and scale a data function over time. Take ownership, empower others, and drive meaningful change Tech Stack: Cloud & storage: S3, Athena, Glue Databases: Neon Postrgres, Tinybird Compute & Orchestration: Modal, Dagster Languages: Python, SQL AI/ML: LLMs, agentic workflows Benefits Currently Offered: £130K–£150K base salary + meaningful equity More ❯

gather requirements and translate them into compelling data stories. Cleanse, profile, and model data using SQL, DBT, and Snowflake. Contribute to projects involving cloud data infrastructure (AWS preferred, especially S3; experience with other platforms also valued). Support the evolution of data processes - potential to get involved in broader SQL, DBT, and AWS financial data projects. What we’re … profile. Advanced SQL skills; hands-on experience with Snowflake and DBT is a plus. Experience working with large datasets and performing data profiling and cleansing. Familiarity with AWS (especially S3; Lambda less important), or similar cloud platforms. Experience with IT asset management is a bonus. Excellent communication skills - able to engage confidently with stakeholders at all levels. Ability to More ❯

to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory - 4 years’ experience AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power …/Store Discount/Well Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Permanent, T6/MN/1292110-3. More ❯

a Hybrid basis - 2/3 days required on site in London, UK. Key Responsibilities/Skills Extensive experience working as Snowflake Solutions Architect on AWS Cloud AWS Glue, S3, Step functions Design data pipelines Data modelling Snowpipe Architect, construct and deliver Data Transformation Frameworks/Data products for complex data solutions across multiple domains Design Data Quality and More ❯