independently and collaboratively. Key Responsibilities as a Principal Data Engineer Propose and implement data solutions using AWS services including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, and Matillion . Work directly with clients to define requirements, refine solutions, and ensure successful handover to internal teams. Design and implement More ❯
and value. Your responsibilities as Principal Data Engineer include: Building cloud-native data platforms using AWS services such as Redshift, Glue, S3, Lambda, and DynamoDB Designing and implementing ETL/ELT pipelines using Matillion and similar tools Leading on solution deployment using infrastructure-as-code and CI/CD More ❯
and value. Your responsibilities as Principal Data Engineer include: Building cloud-native data platforms using AWS services such as Redshift, Glue, S3, Lambda, and DynamoDB Designing and implementing ETL/ELT pipelines using Matillion and similar tools Leading on solution deployment using infrastructure-as-code and CI/CD More ❯
What We're Looking For: 5-7 years of hands-on experience in software engineering Expertise in Java, Spring Boot, AWS, Microservices, and databases (DynamoDB, Postgres, OpenSearch) A proven track record in designing and delivering successful software products Strong communication skills - able to translate technical ideas for non-technical More ❯
R, SAS, or Matlab Proficiency in SQL and scripting (Python) for data processing and modeling Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, and working with large, complex datasets in a business environment Client Description Our client is a More ❯
Greater London, England, United Kingdom Hybrid / WFH Options
Aquent
to process data for modeling Experience with SQL Experience in the data/BI space. 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. Client Description: Our More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Aquent
to process data for modeling Experience with SQL Experience in the data/BI space. 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. Client Description: Our More ❯
we are looking for Strong experience with Laravel (ideally also Laravel Nova) and with modern backend development. Experience working with AWS services (RDS, Lambda, DynamoDB). Fluent Dutch or Basic Dutch with desire to learn. You have a structured approach to writing clean, scalable, and maintainable code. You have More ❯
AWS Bedrock and serverless architecture You'll take ownership of designing scalable, secure, and cost-effective AI-driven applications that leverage tools like Lambda, DynamoDB, and Redshift. Integrating APIs from LLM providers and other external data services You'll connect a variety of APIs (including Claude, OpenAI and others More ❯
efficiency in post-trade data processing. To be successful as a Senior Java Developer, you should have: AWS Services (Redshift, Glue, Lambda, IAM, CloudFormation, DynamoDB, AWS CLI, etc.) Python or Core Java, or both Ability to design complex, practical solutions Additional highly valued skills include: Experience working in the More ❯
scale, low-latency distributed systems in trading or financial environments. Deep understanding of data streaming, order management systems, and modern persistence technologies (e.g., Aurora, DynamoDB). Experience working in front-office trading environments, ideally with exposure to FX and/or crypto trading/markets. Familiarity with event-driven More ❯
Full-Stack Software Developer Position (UK) London, United Kingdom Type: Full-Time (hybrid - min. 3 days per week in office) Longevity Partners is a multi-disciplinary energy and sustainability consultancy. Established in 2015 to support the transition to a low More ❯
scripting experience (Python) to process data for modeling. Experience in the data/BI space. 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. Posted: February More ❯
and building ETL pipelines Proficiency in SQL for data retrieval and scripting in Python for data processing Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift PREFERRED QUALIFICATIONS Experience in data mining, ETL, and working with large-scale, complex datasets in a business environment Amazon is an More ❯
Define, build, own, and run services in high growth environments Solve unique and first-order problems in massive-scale areas such as compute services, DynamoDB/NoSQL databases, Glacier, S3 data lakes and many other AWS Services Learn how to build and operate distributed systems at massive scale Build More ❯
architecture Ability to take a project from scoping requirements through actual launch of the project Experience with Amazon Compute & Storage Technologies like EC2, S3, DynamoDB and RDS Experience deploying or managing servers in large-scale, geographically diverse environments and storage infrastructure. Excellent leadership, verbal, and written communication skills AmazonMore ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Our inclusive culture More ❯
Define, build, own, and run services in high growth environments • Solve unique and first-order problems in massive-scale areas such as compute services, DynamoDB/NoSQL databases, Glacier, S3 data lakes and many other AWS Services • Learn how to build and operate distributed systems at massive scale • Build More ❯
Define, build, own, and run services in high growth environments Solve unique and first-order problems in massive-scale areas such as compute services, DynamoDB/NoSQL databases, Glacier, S3 data lakes and many other AWS Services Learn how to build and operate distributed systems at massive scale Build More ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Our inclusive culture More ❯
Define, build, own, and run services in high growth environments • Solve unique and first-order problems in massive-scale areas such as compute services, DynamoDB/NoSQL databases, Glacier, S3 data lakes and many other AWS Services • Learn how to build and operate distributed systems at massive scale • Build More ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Our inclusive culture More ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Amazon is committed More ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Amazon is committed More ❯
from a database or data warehouse and scripting experience (Python) to process data for modeling 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 Our inclusive culture More ❯