10 of 10 Remote Amazon S3 Jobs in the North of England

data scientists and ML engineers to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices More ❯

Work With Backend: Python (Flask/FastAPI), Node.js Frontend: React or Vue.js Database: PostgreSQL/MySQL (Google Cloud SQL), MongoDB Cloud: Google Cloud Run, Cloud Storage, AWS EC2/S3/Lambda Tools: Docker, GitHub, Jira, AI-assisted dev tools (Copilot, ChatGPT) Testing: Pytest, Jest, Cypress (AI-assisted test generation encouraged) Why Join Us? AI-first development environment we More ❯

is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing production More ❯

in engineering technologies such as Docker, Kubernetes, and GitLab CI and Experience with Python, especially in scripting or data processing Have desirable knowledge of AWS services (e.g., EC2, Lambda, S3, RDS, API Gateway) What we offer Our roles offer more than just a job, you'll become part of the evoke family! We have created an environment where our More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

and colleagues in an agile environment. Skills and Experience Required: 4+ years of proven experience developing in Python (full stack additionally). Hands-on AWS experience (e.g. Lambda, EC2, S3, etc.). Knowledge of CI/CD, testing practices, and agile delivery methods. Experience working in a consulting or client-facing role is desirable but not essential. Be part More ❯

data engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse More ❯

/PySpark + additional languages for data processing Strong SQL with experience across both relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra) Hands-on knowledge of AWS S3 and associated big data services Extensive experience with big data technologies including Hadoop and Spark for large-scale dataset processing Deep understanding of data security frameworks, encryption protocols, access More ❯

and pipeline architecture What we're looking for: Proven experience in data engineering at a senior level Strong hands-on knowledge of Databricks Experience with AWS cloud platforms inlcuding S3, Redshift, Glue or Lambda Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary More ❯

to team members as needed. Profile The successful Senior Data Engineer should have: A strong background in data engineering or related fields. Strong experience with thefollowingAWS services: DynamoDB Glue S3 Athena Proven experience working with data lakes and large-scale data processing Excellent communication and data storytelling skills Job Offer The successful Senior Data Engineer will be able to More ❯