of distributed systems Experience in financial services specifically corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit more »
services such as AWS Glue, AWS Lambda, and AWS Data Pipeline. Data Storage Management : Manage and optimize data storage solutions, including AmazonS3, Amazon Redshift, and AWS RDS. Data Quality and Validation : Ensure data quality and integrity through validation and cleansing techniques. Collaboration : Work closely … a focus on AWS and cloud technologies. Technical Skills : Proficiency in programming languages such as Python, Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and more »
Greater London, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions
Design, develop, and maintain backend services and APIs using Java and Scala. Implement scalable solutions on AWS cloud platform, leveraging services such as EC2, S3, Lambda, and DynamoDB. Utilize the Spring Framework to build and manage application components, including dependency injection, data access, and transaction management. Collaborate with product more »
Leeds, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
for certifications and loads more Location: Leeds + very flexible hybrid working model (remote) Key skills desired/what you will learn: Terraform AWS: S3, Lambda/Serverless TypeScript, NodeJS, and ReactJS Python CI/CD: CircleCI, GitHub Actions Data Engineering technologies can be taught longer-term Role overview more »
Exposure to the following is advantageous: Experience of storage environment protocols (NAS, SAN, RAID, distributed file system, object storage, Restful API, AmazonS3). Solid networking knowledge: low level networking concepts, bridging, routing, VLAN, TCP/IP etc. Knowledge of High Availability environments (distributed system, load balancing more »
Reading, England, United Kingdom Hybrid / WFH Options
BJSS
projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »
Greater Leeds Area, United Kingdom Hybrid / WFH Options
Trust In SODA
to hit the ground running they are looking to hire a Lead Engineer to spearhead the project with good knowledge of: AWS services (EC2, S3, ECS) Databases (RDS, Glue) Serverless (Lambda, SNS, SQS) Terraform GitHub Actions CircleCI TypeScript Node.js Driving DevOps adoption by defining best practices and guiding developers more »
Develop solutions to parse and process tabular data from PDF and HTML documents Maintain, support and expand existing data pipelines using DBT, Snowflake and S3 Implement standardised data ingress/egress pipelines Onboard new, disparate data sets, sourced from many and varied data vendors, covering all asset types and more »
preferred) 7+ years as a Network Engineer/Architect, with focus on SDN, AWS, Azure, and security Hands-on with AWS (Lambda, Kinesis, DynamoDB, S3) and Azure for serverless apps Deep knowledge of network security (firewalls, IDPS), reducing security incidents by 70% Certifications: CCNP, CCIE, AWS Certified Solutions Architect more »
such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. AWS Services: Hands-on experience with AWS, especially S3, ECS, and EC2/Fargate. Collaborative Approach: Proven ability to work effectively with both business and technical stakeholders, taking ownership of end-to-end more »
experience working within dataiku and understanding its capabilities as a platform and data science solution. Highly experienced within AWS platform engineering such as EC2, S3, IAM. Experienced within Kubernetes. Offering up to £780 inside ir35 and on a 12 month contract No up-to-date CV? No problem! Email more »
mid-term solutions Experience of building data warehouses, enterprise data warehouses or data lakes with ETL pipelines Experience with AWS tools including Glue, Lambda, S3, RDS, is preferred An understanding of CICD concepts including having a working knowledge of GitHub Understanding of different data warehouse architectures is preferred (especially more »
experience Designing, creating and calling HTTP APIs SQL Databases, e.g. Postgres, MySQL, MariaDB Experience in using AWS services - 3+ of the following: EC2, RDS, S3, Route 53, Elastic search, EKS, Cloudwatch, Cloudfront. Works well in a team and with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines more »
Cypress. On the backend you’ll find NodeJS microservices written in TypeScript. We use Kafka to enable our event-driven-architecture, and MongoDB, PostgreSQL, S3 and Elasticsearch for data storage and retrieval. Elephant’s platform is multi-cloud: we deploy our services to data centres around the world using more »
identifying the necessary edge cases that need to be tested in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik more »
BDD/TDD etc) Requirements: Proven experience as a Senior Infrastructure Architect Strong knowledge of Amazon Web Services (AWS), including Cloudwatch, EC2, S3, RDS, CloudFormation, and IAM. An excellent understanding of working methods – Agile/Kanban/DevOps/Scrum/CI CD tools and best practices more »
in our on-call rotation, and resolve production issues Continuously improve automation, monitoring and deployment processes Requirements: Experience with AWS services such as ECS, S3, RDS, Lambda, CloudFront, etc. Experience with monitoring tools like DataDog, CloudWatch, and Grafana Experience with Docker, ECS, Kubernetes or similar containerisation technologies Knowledge of more »
Leeds, England, United Kingdom Hybrid / WFH Options
BJSS
projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »
as code, ensuring consistency and efficiency in deployment processes. Implement and manage hosting and orchestration solutions using Docker, Fargate, Service Catalogue, Service Manager, AWS S3, MKS, Docker, Kubernetes, AWS Autoscaling Groups (ASG), EC2 instances, and ELB (Elastic Load Balancer). Utilize Consul for configuration management and Vault for secure more »
Newcastle Upon Tyne, England, United Kingdom Hybrid / WFH Options
BJSS
projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services more »
an inflight programme for a government client. The project in question involves a complex data transformation initiative and someone with strong experience in AWS, S3, Athena and Python. Due to the nature of the role, candidates will require active SC clearance. Experience required: S3 Athena Glue AWS Lambda more »
process My client are recruiting for a DevSecOps Engineer with a competency in Cloudformation, Jenkins, Groovy and deploying to native AWS services like ECS, S3, Lambda, SQS, Step functions. Candidates must have AWS certified DevOps Engineer professional certification or above. more »
integrations Requirements: Minimum 5 years of experience with Dataiku, demonstrating a deep understanding of its capabilities Proven experience with AWS platform engineering, including EC2, S3, IAM, and security best practices Comprehensive understanding of data security principles and best practices Expert understanding of CI/CD principles and tools (e.g. more »
