701 to 725 of 739 Amazon S3 Jobs

and follow engineering best practices Contribute to improving developer workflows and tooling (GitHub, GitHub Actions, Slack, Linear, Sentry, SolarWinds) Learn about and contribute to infrastructure (Docker, AWS ECS, RDS, S3, SES, CloudFront, CDK) with support from senior teammates. What we are looking for: Proven experience shipping fullstack features in a product-driven team String skills with React, TypeScript, Node.js … and PostgreSQL Working knowledge of AWS services (ECS, RDS, S3, CloudFront, etc. Hands on with modern workflows and tooling, for example GitHub, GitHub Actions, Linear, Sentry Ability to scope medium sized tasks, estimate, and deliver end to end within established patterns Eagerness to learn from senior teammates, share knowledge, and grow technical depth Strong communication skills and a collaborative More ❯

and follow engineering best practices Contribute to improving developer workflows and tooling (GitHub, GitHub Actions, Slack, Linear, Sentry, SolarWinds) Learn about and contribute to infrastructure (Docker, AWS ECS, RDS, S3, SES, CloudFront, CDK) with support from senior teammates. What we are looking for: Proven experience shipping fullstack features in a product-driven team String skills with React, TypeScript, Node.js … and PostgreSQL Working knowledge of AWS services (ECS, RDS, S3, CloudFront, etc. Hands on with modern workflows and tooling, for example GitHub, GitHub Actions, Linear, Sentry Ability to scope medium sized tasks, estimate, and deliver end to end within established patterns Eagerness to learn from senior teammates, share knowledge, and grow technical depth Strong communication skills and a collaborative 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

foundations that power everything we do, making insights accessible, reliable and impactful across the business. What You'll be Doing Designing, building and maintaining reliable data pipelines with AWS (S3, Redshift, Glue, Lambda, Athena) and Airflow . Building and optimising data models that make insights easy to trust and act on. Working closely with analysts, data scientists, and product … or part time hours considered Requirements What You'll Bring Advanced SQL skills and solid experience with Python for data engineering. Strong hands-on experience with AWS (ideally including S3, Redshift, Glue, Lambda, Athena). You must have practical AWS experience to be considered for this role. Proficiency with Airflow and ETL/ELT best practices. Experience with both More ❯

process data for modelling Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business 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 5+ years of … process data for modelling Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business 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 More ❯

data integrity and job performance, and maintaining reliable daily operations post-migration. The role will work closely with the existing project team for the underlying AWS infrastructure (VPC, IAM, S3, EC2, networking). The resource will focus on Cloudera cluster migration, data pipeline reconfiguration, and operational stability. Key Responsibilities Replicate and configure existing Cloudera cluster (HDFS, YARN, Hive, Spark … of experience in data engineering or big data development 4+ years' experience with Cloudera platform (HDFS, YARN, Hive, Spark, Oozie) Experience deploying and operating Cloudera workloads on AWS (EC2, S3, IAM, CloudWatch) Strong proficiency in Scala, Java and HiveQL; Python or Bash scripting experience preferred Strong proficiency in Apache Spark & Scala programming for data processing and transformation. Hands on More ❯

project isolation Support libraries, kernels, and runtime environments for data science users -Cloud & Platform Architecture Design hybrid/cloud-native architectures using RedHatOpenShift, Azure Architect storage strategies (e.g., CephFS, S3-compatible) for notebooks and datasets Build CI/CD pipelines (Jenkins, GitHub Actions,AzureDevops) for deploying platform updates Implement backup, DR, and compliance frameworks for data science workloads -Security … Strong experience administering JupyterHub or Kubeflow Notebooks Proficient with YAML, Helm, and Operator-based deployments Experience with cloud platforms ( Azure, or RedHat OpenShift) Familiarity with storage integration (NFS, Ceph, S3) and dynamic volume provisioning Solid understanding of RBAC, IAM, and secure networking (TLS, ingress/egress rules) Preferred Qualifications: Knowledge to have with Data Science workflows and user personas More ❯

leveraging Apache Spark, Kafka, and AWS Glue/EMR. Architect storage and processing layers using Parquet and Iceberg for schema evolution, partitioning, and performance optimization. Integrate AWS data services (S3, Redshift, Lake Formation, Kinesis, Lambda, DynamoDB) into enterprise solutions. Ensure data governance, lineage, cataloging, and security compliance in line with financial regulations (Basel III, MiFID II, Dodd-Frank). … compliance) to translate requirements into technical architecture. Provide technical leadership and guidance to engineering teams. Required Skills & Experience: Core Technical Expertise Strong hands-on skills in AWS Data Services (S3, Redshift, Glue, EMR, Kinesis, Lake Formation, DynamoDB). Expertise in Apache Kafka (event streaming) and Apache Spark (batch and streaming). Proficiency in Python for data engineering and automation. More ❯

from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality Define and enforce … Required Skills Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven ability More ❯

from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality Define and enforce … Required Skills Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven ability More ❯

from multiple internal systems (trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality Define and enforce … Required Skills Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven ability 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: 130K150K base salary + meaningful equity as 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯