11 of 11 Contract Amazon S3 Jobs in the South East

infrastructure strategy, drive automation, and strengthen CI/CD practices to keep our technology reliable and scalable. Required Technical Skills 5+ years AWS experience (VPC, EC2, ECS, EKS, EFS, S3, Workspaces, Security Groups, CloudWatch/CloudTrail, IAM). Strong containerization expertise (Docker or similar). Scripting and automation with Python or Bash. Modern CI/CD practices and pipeline More ❯

level programming and deep understanding of the language and its core libraries Spring Boot: Expert in building RESTful APIs and microservices AWS: Strong experience with core AWS services (EC2, S3, Lambda, IAM, etc.) Kafka/Messaging Systems: Expertise in building event-driven architectures SQL: Strong experience with relational databases and query optimization REST/JSON APIs: Designing, developing, and More ❯

consultant who is willing to engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a More ❯

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

Analyse and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to clarify requirements and deliver solutions. More ❯

pipelines and ETL processes for capital markets data Hands-on experience with AWS cloud services and Snowflake data platform Experience with cloud-native development patterns and AWS services (Lambda, S3, RDS, etc.) Hands-on experience integrating with OMS platforms (Aladdin, Murex, Charles River, etc.) including data extraction, transformation, and real-time feeds Strong understanding of the capital markets trade More ❯

various data sources. Document test results and provide detailed reports on data quality findings. Required Skills and Experience: Proven experience with AWS services such as EMR, Lambda, Redshift, Firehose, S3, Iceberg, Athena, and DynamoDB. Strong understanding of data ingestion, parsing, aggregation, and schema validation processes. Proficiency in SQL for data querying and validation. Experience with Python for scripting and More ❯

architecture Strong proficiency in Python and SQL, with the ability to manipulate and analyse large datasets Hands-on experience with Kafka for stream processing and AWS (particularly Redshift and S3) Skilled in implementing testing and validation strategies to ensure data quality Familiar with version control systems such as Git and working in Agile, collaborative environments Self-driven with strong More ❯

EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 and federated through Aurora Postgres. Proven experience with data modeling, medallion/lakehouse architectures, and financial domain familiarity. Ability to solve problems independently and deliver frameworks/solutions with More ❯

This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight S3 Java SQL Relational databases GitHub/lab experience Experience with DevSecOps and building scalable data platforms Nice to have: Data quality expertise XML knowledge AWS Data Speciality certification Reasonable More ❯

on AWS using serverless technologies such as Lambda, Glue, Glue Data Catalog, EMR serverless, and API Gateway. Implement and manage large-scale data processing with Spark (Iceberg tables in S3, Gold layer in Aurora Postgres). Collaborate with data scientists, analysts, and stakeholders to ensure data availability, accessibility, and reliability. Design and maintain robust data models that align with … Proven experience with relational databases (Aurora Postgres preferred), including performance optimisation. Extensive AWS experience, particularly with serverless data engineering tools (Lambda, Glue, Glue Data Catalog, EMR serverless, API Gateway, S3). Solid Spark experience with large-scale data pipelines and data lakehouse architectures (Iceberg format a plus). Hands-on experience with data modelling and designing scalable data architectures. More ❯