1 to 25 of 28 Amazon S3 Jobs in the East of England

organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory ...

company scale internationally, improving performance, integrations, and platform reliability. What You’ll Need Strong experience in AWS serverless architecture (Lambda, DynamoDB, API Gateway, S3, etc.) Node.js/TypeScript backend experience (or Python with a willingness to use Node) Experience designing and building REST APIs and microservices History of mentoring ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

features from design through to delivery Bonus: · Practical experience with GraphQL (Apollo, server or client) · PostgreSQL or relational database experience · Familiarity with AWS (RDS, S3, ECS/Fargate, etc.) · Experience with Nx monorepos and modular architectures · Testing experience with Playwright, Jest, or similar · Exposure to ERP, manufacturing, or production ...

Python, and ETL tools ( Streamsets, DBT etc.) >Hands on experience with Oracle RDBMS >Data Migration experience to Snowflake >Experience with AWS services such as S3, Lambda, Redshift, and Glue. >Strong understanding of data warehousing concepts and data modeling. >Excellent problem-solving and communication skills, with a focus on delivering ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within secure and compliant environments. Develop data integration ...

month fixed-term contract. The Role: Design, build, and maintain resilient, automated data pipelines using Talend Data Integration. Work with modern AWS technologies including S3, Glue, Redshift, and Spectrum. Optimise data workflows to ensure reporting, analytics, and performance management are powered by high-quality, trustworthy data. Collaborate with architects ...

prescriptive insights. ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and frameworks. Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, ADF). Data Governance: Understanding of GDPR, PII, and secure data management principles. Communication: Strong data storytelling skills ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

engineering team. What we're looking for: 2+ years of Full-Stack Ruby on Rails experience is essential. Experience in AWS services such as S3 & ECS is an advantage. Solid communication skills for a fully remote team. What's on offer: Fully remote (UK-based) with the ability ...

Type of Employment- Permanent Job Overview: We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain . The candidate will work closely with data architects, business analysts … clusters for reporting and analytics. Create and optimize schemas, tables, distribution keys, sort keys , and workload management. Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations. Build Iceberg-based ...

will design, build, and maintain resilient, automated data pipelines that fuel reporting, analytics, and performance management across the organisation. Working with modern AWS technologies (S3, Glue, Redshift, Spectrum), you'll help shape an open, data-driven culture and ensure high-quality, reliable data is available to stakeholders. This role … including CI/CD principles. Skills & Experience Required: Proven experience using Talend Data Integration in a data engineering role. Strong knowledge of AWS services (S3, Glue, Redshift, Spectrum). Solid SQL skills and experience in data warehousing and ETL best practices. Experience working with REST/SOAP APIs ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...

pipelines. Structure, transform, and optimize data in Snowflake. Implement multi-source ETL/ELT flows (ERP, APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security … cloud environment. Snowflake (MUST HAVE): Expertise in modeling, query optimization, cost management, and security. AWS: Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline ...