151 to 168 of 168 Amazon S3 Jobs in the UK

individual one or part of a team) Architect and optimize ETL/ELT pipelines using services such as: DBT, AWS Glue, Lambda, Kinesis, S3, EMR Design high performance Snowflake data models (3NF, dimensional, Data Vault, etc.) Optimize query performance, clustering, micro-partitioning, and resource consumption Work closely with Data … optimization techniques Hands on expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation ...

curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Expert level 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 … GenAI concepts to front-office/capital market environments. Extensive financial services experience, ideally in a front-office environment. 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 ...

What You’ll Be Working On Building and supporting APIs and microservices in production Developing backend systems using Python + AWS (Lambda, API Gateway, S3, DynamoDB) Working with event-driven systems (Kafka, SNS/SQS, etc.) Supporting and improving existing production systems Debugging real-world issues and keeping systems … stable at scale Collaborating within an existing team + codebase (pragmatic engineering) Tech Stack Python AWS (Lambda, API Gateway, S3, DynamoDB, IAM) Event-driven systems (Kafka, SNS/SQS) Databases (Postgres, DynamoDB, Couchbase) CI/CD (Concourse, Git workflows) Observability (Prometheus, Grafana, CloudWatch) What You’ll Bring Strong backend ...

ecosystem. What You’ll Be Working On Designing and delivering scalable APIs and microservices Building backend systems using Python + AWS (Lambda, API Gateway, S3, DynamoDB) Handling event-driven architectures (Kafka, SNS/SQS, etc.) Driving system design decisions across distributed systems Improving observability, reliability, and performance in production … Debugging complex issues and leading resolution across teams Staying hands-on while setting technical direction and standards Tech Stack Python AWS (Lambda, API Gateway, S3, DynamoDB, IAM) Event-driven systems (Kafka, SNS/SQS) CI/CD (Concourse, Git workflows) Databases (Postgres, DynamoDB, Couchbase) Observability (Prometheus, Grafana, CloudWatch) What ...

modern technology stack which includes React, Node.js and Typescript Experience with the AWS services such as Amazon Cognito, DynamoDB Lambda, S3, Eventbridge, AppSync, API Gateway and SQS Experience using Serverless stack to build and deploy serverless applications into AWS cloud Exceptional communication skills within the team ...

other related field Minimum 1 year working experience in Information Security, with proven focus in Cloud Security Deep technical knowledge of Amazon Web Services (AWS). Expertise … Microsoft Azure and Oracle Cloud will be considered an advantage Hands-on experience on AWS services such as IAM, Organizations, SSO, VPC, Transit Gateway, S3, EC2, RDS, ELB, CloudTrail, Config, Inspector, GuardDuty, WAF, etc Clear understanding of current threats to Cloud infrastructure and advanced knowledge of securing such environments ...

technical blueprints Architect and optimise data pipelines using Airflow/MWAA and dbt Define and implement data lakehouse solutions using Apache Iceberg and S3 Lead performance tuning across Snowflake, Airflow, and Iceberg environments Ensure platform reliability, observability, and scalability Drive adoption of cloud-native design patterns and best practices … Architecture for data platforms Deep expertise in Snowflake architecture Hands-on experience with Airflow/MWAA and dbt Strong knowledge of AWS data services (S3, EMR, PySpark) Experience designing Data Lakehouse architectures (Iceberg preferred) Expertise in performance tuning and optimisation Nice to Have CI/CD and DevOps practices ...

Infrastructure Deploy and manage models using SageMaker (training, endpoints, pipelines) Leverage Bedrock for foundation model access Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement CI/CD for ML workflows Monitor performance via CloudWatch and drift detection tooling Optimise inference cost … Statistical modelling & ML algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch IAM & security best practices AI-Native Tooling Foundation models for reasoning workflows Code-generation tooling for automation scripting Agent orchestration frameworks ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … semi-structured data Experience using dbt to build and manage analytics models within a data warehouse Familiarity with AWS data services such as S3, RDS or Aurora Experience working with event or log-based data sources such as Elasticsearch or OpenSearch What's on Offer Salary ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … semi-structured data Experience using dbt to build and manage analytics models within a data warehouse Familiarity with AWS data services such as S3, RDS or Aurora Experience working with event or log-based data sources such as Elasticsearch or OpenSearch What's on Offer Salary ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … semi-structured data Experience using dbt to build and manage analytics models within a data warehouse Familiarity with AWS data services such as S3, RDS or Aurora Experience working with event or log-based data sources such as Elasticsearch or OpenSearch What's on Offer Salary ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … semi-structured data Experience using dbt to build and manage analytics models within a data warehouse Familiarity with AWS data services such as S3, RDS or Aurora Experience working with event or log-based data sources such as Elasticsearch or OpenSearch What's on Offer Salary ...

usability of platform logs and event data for analytics and AI use cases Manage and structure data stored within AWS environments including S3 and Redshift Develop and maintain analytics-ready datasets using dbt as the core transformation tool Skills and Experience Experience working as a Data Engineer or similar … semi-structured data Experience using dbt to build and manage analytics models within a data warehouse Familiarity with AWS data services such as S3, RDS or Aurora Experience working with event or log-based data sources such as Elasticsearch or OpenSearch What's on Offer Salary ...

delivering robust, efficient, and reliable data pipelines. Key Responsibilities Design, develop, and maintain scalable data pipelines using the AWS data integration stack, including S3, Lambda, EventBridge, SQS, and Step Functions Build and optimize data models and transformations using Snowflake and dbt Core Implement and manage Change Data Capture … mainframe database technologies Contribute to continuous improvement of data engineering practices and standards Required Skills & Experience Strong hands-on experience with AWS data services (S3, Lambda, EventBridge, SQS, Step Functions) Proven experience working with Snowflake in a production environment Solid experience with data transformation tools such as dbt Core ...

tests, documentation and reusable logic. Improving the structure, quality and monitoring across the entire data environment. Managing and optimising the AWS data stack: Redshift, S3, RDS. Introducing proper documentation, QA checks and governance processes Supporting the development of the company's AI & ML platform, laying strong data foundations … across the warehouse and pipeline layers. Python, especially for production pipelines, APIs and semi-structured data. Solid experience with AWS: Redshift (core data warehouse) S3 RDS/Aurora Hands-on experience with dbt Core (modelling, testing, documentation). Experience working with event/log data from Elasticsearch/OpenSearch. ...

seeking an experienced Data Architect with strong expertise in Snowflake on Amazon Web Services and DBT to design, architect, and optimize scalable enterprise data platforms. The role involves defining data platform architecture, governance standards, and scalable data transformation frameworks, while ensuring high performance, security, and cost efficiency. … Deep knowledge of Snowflake architecture, performance tuning, data sharing, security, and workload optimization. Cloud Platform Strong experience with Amazon Web Services, including: S3 IAM AWS Glue Lambda CloudWatch Data Transformation Strong experience with DBT for enterprise-scale data modelling, testing, and transformation pipelines. ...

production-grade platforms. Our current stack includes: · Python/Flask backend · Jinja2 templating · Modular vanilla JavaScript (no front-end framework) · Tailwind CSS · Snowflake and S3 for data storage · PySCIP for optimisation workflows In addition to strengthening the front-end and platform layer, this role will support API integrations with … outbound data workflows. Data Collaboration – Work closely with the Data Engineering team to ensure consistent, scalable, and well-structured data pipelines between Snowflake, S3, optimisation models, and external systems. Technical Strategy – Help define when to extend our current server-rendered approach versus introducing modern front-end frameworks or additional ...

data into trusted analytical assets and bring insight to life through Power BI. Build and maintain the Redshift-based Enterprise Data Warehouse and S3 Data Lake. Develop and optimise ELT/ETL pipelines across diverse data sources. Develop Power BI datasets, dashboards, and reports. Build strong semantic models using … make recommendations that will benefit the department Requirements: 3+ years’ experience in data engineering and data warehousing. Amazon Redshift. Data Lake architectures (S3, lakehouse patterns). SQL and Power BI development experience. DAX/Data Modelling Familiarity with ELT/ETL tools. Knowledge of data governance, security ...