Senior Python Software Engineer - UK Remote
About us
bigspark, a UK-based consultancy, delivers next-level data platforms and solutions with a focus on exciting technologies including Apache Spark, Apache Kafka, and projects within Machine Learning, Data Engineering, Streaming, and Data Science. We are 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. Our specialization includes 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 data scientists creating agent-based modeling and synthetic data.
Key responsibilities include:
- Enhancing and extending agent-based models within the core product.
- Developing clean, efficient, and maintainable Python code.
- Designing scalable and modular system architectures for complex simulations.
- Ensuring simulation reliability through rigorous testing and performance benchmarking.
- Collaborating with data scientists, product managers, and infrastructure teams.
- Implementing real-time monitoring and logging frameworks.
- Conducting thorough automated testing to ensure full feature coverage.
- Deploying via CI/CD pipelines on cloud platforms (AWS).
- Monitoring post-release application health and performance.
- Validating simulation outputs to meet client requirements.
- Creating technical documentation and contributing to knowledge-sharing initiatives.
- Driving 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.
- Proficiency 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.
- Skills 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.
- Familiarity 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 (including family)
- Permanent health insurance cover / income protection
- Employee assistance programme
- A Perkbox account
- Access to an independent financial advisor
- Laptop
- Remote, work-from-home position