Python & AWS Software Engineer - Data Science Focus

Adecco; East Midlands; Ibrido; GBP 60.000 - 75.000; Tempo pieno

Descrizione del lavoro

Adecco is seeking a Software Engineer (Python & AWS) to join a data science–focused team in Derby, with about one day per week on-site. You will design data pipelines, APIs and ML-enabled services, working with large datasets and cloud infrastructure to deliver data-driven insights.

You should have strong Python experience with data libraries, and familiarity with AWS services. This role blends software engineering with data science, across production-grade data products.

Competenze

• Strong Python development experience with data-focused 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.

Mansioni

• Design data pipelines, ETL processes and backend services using Python.
• Build and maintain APIs and microservices delivering data products to users.
• Work with large and complex datasets.
• Deploy machine learning models and statistical analyses into production.
• Design and manage AWS cloud infrastructure to support data and application workloads.

Conoscenze

Python

NumPy/Pandas

Scikit-learn

Git & CI/CD

Agile practices

Statistics

AWS basics

Strumenti

AWS S3

AWS Lambda

AWS EC2

AWS RDS

AWS Glue

Descrizione del lavoro

Software Engineer (Python & AWS) - Data Science Focus

Location: Derby - 1 day per week

Salary: £60,000 - £75,000

About the Opportunity

We're looking for a talented Software Engineer with a strong interest in data and data science to join an innovative technology team.

This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable insights.

What You'll Be Doing

• 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

What We're Looking For

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

Desirable Skills

• Experience working with time-series, geospatial, sensor or other complex datasets.
• Exposure to machine learning or deploying ML models into production.
• Familiarity with frontend technologies such as React and TypeScript.
• Experience with infrastructure as code, such as Terraform or CloudFormation.
• AWS certifications would be beneficial

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you