Expire in: 24 days
We’re looking for a Software Engineer to join our growing Business Intelligence team. This is a fantastic opportunity to work at the intersection of engineering, data science, and analytics, building tools and services that power critical business decisions.
What You’ll Be Doing
Designing, building, and maintaining production-grade services that integrate with our wider tech stack and support Data Science and BI functions.
Enhancing and evolving our data science infrastructure, reducing technical debt and improving system resilience.
Collaborating with data scientists and engineers to develop best practices, operationalise models, and build tooling that enables scalable delivery.
Contributing to business-led projects with engineering implications, including tool and data model design.
Creating and maintaining CI/CD pipelines to ensure fast, reliable, and reproducible deployments.
Working with the team lead to scope and plan development work, including service design and integration.What We’re Looking For
Solid understanding of the full software development lifecycle.
Strong experience developing and deploying Python applications using engineering best practices.
Familiarity with tools and platforms such as:
Terraform, Git, GitLab CI/CD
Google Cloud Platform (especially BigQuery, Firestore, GKE)
Kafka, MongoDB, Airflow
Experience with cloud architecture, containerisation (Docker, Kubernetes), and infrastructure-as-code.
Proficiency in SQL and working with large, complex datasets (ideally in BigQuery or similar).
A degree in a scientific or quantitative field.
Proactive, detail-oriented, and eager to learn and improve systems.
Bonus: Knowledge of sports betting and gaming data.If you're passionate about building robust data-driven systems and want to work in a fast-paced, high-impact environment — we’d love to hear from you
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