26 to 34 of 34 Amazon S3 Jobs in the City of London

payment processing and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application ...

development and optimisation. Strong skills in Python and SQL for ELT/ETL and transformation workflows. Experience with cloud native storage and compute tools: S3, Data Lake, ADF, Redshift, Synapse, etc. Familiarity with CI/CD pipelines, test automation, and DevOps practices in data workflows. Stakeholder management Career & Development ...

Python , R , and data science libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Expertise in multi-cloud environments (AWS, Azure, GCP) including services like S3, BigQuery, Azure ML, etc. Solid understanding of data engineering principles , SQL, and distributed computing frameworks (Spark, Hadoop). Experience in consulting or client-facing ...

quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable ...

EKS clusters . Deep understanding of Kubernetes fundamentals (pods, deployments, services, networking, ingress, secrets). Experience with AWS core services: EC2, VPC, IAM, S3, RDS, Route 53, CloudWatch, Lambda, and others. Strong networking fundamentals (DNS, TLS, VPNs, VPC routing, load balancing). Proficiency with Git, CI/ ...

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 … Python; passion for code quality and testing. Demonstrable experience applying GenAI concepts to front-office/capital markets 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 ...

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 … 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 ...

high-quality delivery. Set technical direction across Python services, distributed systems, and large-scale data processing. Work heavily with AWS — especially Redshift, Lambda, ECS, S3 , plus data formats like Parquet . Shape high-throughput data pipelines and SQL-based workflows , ensuring scalability and performance. Run technical design reviews , guide … Design to define technical requirements, prioritise roadmaps, and drive measurable outcomes. Tech Environment You’ll Influence Primary language: Python AWS stack: Redshift, Lambda, ECS, S3 Data workflows: Parquet, SQL, distributed data pipelines Scale: systems processing hundreds of millions to billions of rows Focus areas: performance tuning, reliability, cost optimisation ...

Fullstack Engineer - Up to £60k - 2 Days onsite - Fulham I am currently working with an excting SaaS client who has built out a Risk management solutions platform. Their primary focus is to provide businesses with ...