AWS & Data Archtect - FinTech - up to £750 p/d - Hybrid
Posted Today by Hunter Bond
£95 Per hour
Inside
Hybrid
London Area, United Kingdom
Summary: The AWS & Data Architect role involves providing technical leadership for an AWS data platform within a key Financial Services client. The successful candidate will possess expertise in data and infrastructure, with a focus on AI/ML projects. The position requires a hybrid working arrangement, with two days on-site in London and the remainder remote. The contract is for six months rolling, with a competitive daily rate.
Key Responsibilities:
- Technical leadership of AWS data platform – data modelling, warehousing and integration
- Optimising data pipelines for increased data ingestion / processing
- Implementing Big Data architectures within AWS
- Developing data transformation and processing with Python and SQL
- Developing data modelling frameworks
- Utilising modern tools such as Databricks and Dremio
- Working within DevOps and CI/CD environments with Git for version control
- Working extensively with stakeholders to gather and define requirements
Key Skills:
- AWS
- Linux
- DevOps
- Python
- Data
- AI
- ML
- Financial Services
Salary (Rate): £750.00 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Job title: AWS & Data Architect
Client: FinTech
Rate: up to £750 p/d (Inside IR35)
Contract Length: 6 months rolling
Location: London
Skills: AWS, Linux, DevOps, Python, Data, AI, ML, Financial Services
The role: My client are seeking an AWS Architect to join them to work for a key Financial Services client. The successful candidate will have technical skills across both Data and Infrastructure. You will also have experience to working on either AI/ML projects. You will be required to work on site in London City 2 days per week, with the remainder remote.
Responsibilities:
- Technical leadership of AWS data platform – data modelling, warehousing and integration
- Optimising data pipelines for increased data ingestion / processing
- Implementing Big Data architectures within AWS
- Developing data transformation and processing with Python and SQL
- Developing data modelling frameworks
- Utilising modern tools such as Databricks and Dremio
- Working within DevOps and CI/CD environments with Git for version control
- Working extensively with stakeholders to gather and define requirements
Please apply ASAP for more information.