Data Science Engineer: Python & AWS

Owen Thomas B Corp; East Midlands; Hybrid; GBP 60,000 - 75,000; Full time

Job summary

Adecco UK is seeking a Python & AWS Software Engineer with a Data Science focus to join a dynamic tech team in Derby. You will build data pipelines, APIs and data-driven applications using Python and AWS services, turning large, complex datasets into actionable insights.

The role emphasizes data science work within a software engineering context, including deployment of ML models and statistical analysis into production environments, with a hybrid work arrangement in Derby.

Qualifications

• Strong Python development experience with libraries such as NumPy, Pandas or Scikit-learn.
• Experience building data pipelines and working with structured and unstructured data.
• Experience with AWS services such as S3, Lambda, EC2, RDS and Glue.
• Solid understanding of statistics and applied mathematics.
• Ability to understand, interpret and extend complex algorithms and business logic.
• Strong grounding in software engineering principles, including testing, code quality and design patterns.
• Experience with Git, CI/CD pipelines and Agile development practices.

Responsibilities

• Designing and developing data pipelines, ETL processes and backend services using Python.
• Building and maintaining APIs and microservices that deliver data products to internal and external users.
• Working with large and complex datasets.
• Implementing and deploying machine learning models and statistical analysis into production environments.
• Designing and managing AWS cloud infrastructure to support data and application workloads.

Skills

Python

NumPy / Pandas

Scikit-learn

AWS

Data pipelines

Software engineering

Git / CI/CD

Tools

Git

CI/CD pipelines

Agile development

Job description

Adecco UK is seeking a Python & AWS Software Engineer with a Data Science focus to join a dynamic tech team in Derby. You will build data pipelines, APIs and data-driven applications using Python and AWS services, turning large, complex datasets into actionable insights.

The role emphasizes data science work within a software engineering context, including deployment of ML models and statistical analysis into production environments, with a hybrid work arrangement in Derby.