Job Title: Data Engineer

Location: Manchester (Hybrid, up to 4 days WFH)
Salary: £40k-50k + benefits

About the Role:
Join a rapidly growing PropTech innovator that's transforming the industry through cutting-edge data solutions. As aData Engineer, you'll work end-to-end on critical data projects, from building APIs to supporting AI-powered features that drive the future of PropTech. You'll collaborate with cross-functional teams, bringing your expertise in data engineering, machine learning, and cloud infrastructure.

You'll design and maintain scalable data pipelines, manage cloud infrastructure (primarily GCP with some AWS exposure), and handle data integration challenges. You'll have the freedom to explore new tools, implement best practices, and drive innovation in a fast-paced environment.

What You'll Do:

Develop and optimize data pipelines using Python (Apache Beam) and FastAPI. Manage cloud infrastructure using tools like Kubernetes, Docker, BigQuery, and PubSub. Handle large datasets and ensure data quality and scalability. Participate in sprints, daily stand-ups, and team retrospectives. Use continuous deployment tools like CircleCI, Terraform, and ArgoCD to streamline data services.

What You'll Bring:

2-3 years of experience in Python-based data engineering. Strong experience with cloud platforms, particularly GCP (AWS is a plus). Self-motivation, curiosity, and the ability to work autonomously in a remote setup. Experience with AI or machine learning is a plus but not required.