Data Engineer

Choosing Capgemini; Manchester; On-site; GBP 50,000 - 70,000; Full time

Job summary

A prominent consulting firm is seeking a Data Engineer with expertise in AWS, MLOps, and Python. The ideal candidate will have experience with data engineering and machine learning, along with hands-on abilities in deploying and monitoring models in cloud environments. Candidates should be familiar with tools such as Docker, Kubernetes, and have experience in backend integration. This role is based in Manchester.

Qualifications

• Proficiency in AWS Data Engineering and Machine Learning.
• Experience with MLOps tools and cloud environments.
• Hands-on with Python, Pyspark, and RESTful APIs.

Skills

AWS Data Engineering

Machine Learning

MLOps

Python

Pyspark

Tools

Docker

Kubernetes

Gitlab

Jenkins

MLflow

Airflow

Job description

Hiring for a Data Engineer for FS domain with Machine learning and MLOps background and proficiency in Python.

Qualifications

• Primary Skill: AWS Data Engineering, ML Engineering, ML-Ops, ECS, Sagemaker, Gitlab, Jenkins, CI/CD, AI Lifecycle, Experience in front-end development (HTML, Stream-lit, Flask.)
• Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines.
• Proficiency with Python, Pyspark, Big-data ecosystems
• Hands-on experience with MLOps tools (e.g., MLflow, Airflow, Docker, Kubernetes)
• Secondary Skill : Experience with RESTful APIs and integrating backend services