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3 hours ago
Contract
Northamptonshire
United Kingdom

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: Data Modeler
Work mode: Hybrid, 2 days WFO/week
Contract duration: 6 months
Location: Northampton, UK
Industry: Banking Domain experience needed

Pay Rate: £481 per day all inc. (Inside IR35)

JOB DETAILS:
Key Responsibilities:
Data Engineering & Platform Development
- Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
- Build and manage enterprise data lake solutions using Client S3 and AWS Lake Formation.
- Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
- Design and implement serverless data processing solutions using AWS Lambda.
- Orchestrate and automate data workflows using AWS Step Functions.

Data Warehousing & Analytics
- Design, develop, and optimize data warehouse solutions using Client Redshift.
- Enable data analytics and reporting through Client Athena.
- Ensure data quality, integrity, and availability across the data platform.

Cloud Infrastructure & Security
- Configure and manage AWS services including IAM, VPCs, Subnets, SNS, and SQS.
- Develop Infrastructure as Code (IaC) using AWS CloudFormation.

Core Skills & Competencies:
- AWS: S3, IAM, Lambda, Glue, Step Functions, Lake Formation, VPC & Subnets, Athena, Redshift, Service Catalog, CloudFormation, SNS, SQS
- Programming: SQL, Python, ETL/ELT
- Development: Unix/Linux, Shell Scripting, Git

Qualifications & Experience:
- Bachelor's or Master's degree in a related field.
- 8+ years of experience of overall experience and 6+ years of experience as AWS Data Engineer

Preferred Experience (Nice to Have):
- GitLap
- Nexus Repository Manager
- Redshift Performance Optimization
- Snowflake
- DBT (Data Build Tool)

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.