Offer summary

Qualifications:

Deep expertise in Python with a focus on object-oriented programming principles., Proficient in modern typed Python and experienced with version control systems like Git., Strong knowledge of data validation, analysis, and visualization, with hands-on experience in ETL/ELT processes using dbt and SQL., Excellent communication skills to engage effectively with stakeholders across varying technical expertise levels..

Key responsibilities:

Enhance and extend agent-based models within the core product.

Develop clean, efficient, and maintainable Python code while ensuring simulation reliability through rigorous testing.

Collaborate with data scientists, product managers, and infrastructure teams to design scalable system architectures.

Deploy applications via CI/CD pipelines on cloud platforms and monitor post-release application health and performance.

Job description

Senior Python Software Engineer - UK Remote

About us

bigspark, a UK based consultancy delivering next level data platforms and solutions with a focus on exciting technologies including Apache Spark, Apache Kafka and working on projects within Machine Learning, Data Engineering, Streaming and Data Science is looking for a Python Software Engineer to join our team on a permanent basis in a UK remote, work from home capacity. We provide the backbone for modern analytics to our clients through expertise in DevOps, distributed computing, machine learning and adoption of proven open source projects. We specialise in backend development, infrastructure automation and performance engineering for data workloads at scale.

Role Purpose

The Python Software Engineer will work in the core product team on our Flagship Product, Aizle.ai alongside a team of Data Scientists creating agent based modelling and synthetic data

Key responsibilities include:

Enhance and extend agent-based models within the core product.

Develop clean, efficient, and maintainable Python code.

Design scalable and modular system architectures for complex simulations.

Ensure simulation reliability through rigorous testing and performance benchmarking.

Collaborate with data scientists, product managers, and infrastructure teams.

Implement real-time monitoring and logging frameworks.

Conduct thorough automated testing to ensure full feature coverage.

Deploy via CI/CD pipelines on cloud platforms (AWS).

Monitor post-release application health and performance.

Validate simulation outputs to meet client requirements.

Create technical documentation and contribute to knowledge-sharing initiatives.

Drive continuous improvement through performance optimization and innovation initiatives.

Skills and experience

Deep expertise in Python, with a strong emphasis on object-oriented programming (OOP) principles to develop, maintain, and innovate scalable data products.

Proficient in modern typed Python, committed to unit testing new features, and actively improving legacy codebases.

Strong working knowledge of version control systems such as Git to enable collaborative, agile development workflows.

Skilled in data validation, analysis, and visualization to interpret simulation results, with hands-on experience in ETL/ELT processes using dbt (Data Build Tool) and SQL for efficient data transformation and pipeline management.

Familiar with continuous integration and deployment (CI/CD) practices to support automated testing, smooth release cycles, and scalable delivery pipelines.

Excellent verbal, written, and data communication skills, engaging effectively with stakeholders across varying levels of technical expertise through reports, presentations, and collaborative discussions.

Demonstrated ability to quickly learn and apply new technologies and techniques, driving continuous innovation in data product development.

Strong sense of personal ownership and accountability, consistently delivering high-quality work aligned with project and product goals.

Exercises sound judgment when escalating issues, redefining objectives, or seeking support as needed.

(Desirable) Proficient in graph data modeling and network analysis using Neo4j and NetworkX, delivering advanced relationship-based insights and enhancing simulation frameworks.

(Desirable) Experienced in containerizing applications with Docker to ensure reproducible development environments and streamline deployment processes.

In return you will receive:

Competitive salary

Generous Annual Leave

Discretionary Annual Bonus

Pension Scheme

Life Assurance

Private Medical Cover (inc family)

Permanent Health Insurance Cover / Income Protection

Employee Assistance Programme

A Perkbox account

Access to an Independent Financial Advisor

Laptop