Senior Python Developer | SC Cleared | Data & Integrations | £450pd Inside IR35

Boost Talent

Leeds, UK

4 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

£117,000.0

Working hours

Regular working hours

Job source

www.careerboard.com

Tech stack

Agile Methodology Amazon Web Services Business Analytics Applications Big Data Cloud Computing Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Github Python (Programming Language) Data Streaming

+12 more

Systems Integration Software Organization Sql Optimization Infrastructure as Code (IaC) Git Pytest Operational Systems Tools for Reporting Api Design Restful APIs Data Pipelines Service Stack

Job description

Working within a multidisciplinary Agile environment, you’ll play a key role in building and supporting operational integrations, developing scalable APIs, and delivering robust data pipelines within a modern cloud-based architecture., * Design, develop and maintain scalable APIs and integration services using Python.

Build and support robust ETL processes and automated data pipelines.
Develop solutions that integrate operational systems with analytical and reporting platforms.
Collaborate with architects, engineers and stakeholders to define technical requirements and deliver high-quality solutions.
Improve and re-engineer existing data flows to support scalability and reuse.
Deploy and support services within AWS cloud environments.
Participate in operational support activities and service management processes.
Ensure solutions are resilient, observable and supportable in production environments.
Contribute to best practice engineering standards and continuous improvement initiatives., * Modern Python, AWS and cloud-first technology stack.
Collaborative Agile delivery environment.
Flexible hybrid working arrangement.

Requirements

Strong commercial Python development experience.
Advanced SQL skills and experience working with complex datasets.
Proven experience developing APIs and Back End services.
Strong background in data engineering, ETL development and data integration.
Experience working with AWS cloud services.
Infrastructure as Code (IaC) experience.
Strong understanding of software development best practices, testing and deployment.
Experience with:
Pytest
Git
CI/CD pipelines (GitHub Actions or similar)
Experience working within Agile delivery teams.
Excellent stakeholder engagement and communication skills.

Desirable Experience

Public sector or highly regulated environment experience.
Experience supporting Business Intelligence or analytics platforms.
Knowledge of monitoring, observability and production support practices.
Previous experience on large-scale integration or data transformation programmes.