Data Engineer

About StudentCrowd

StudentCrowd is the UK’s leading platform for student accommodation and university insights. We help millions of students each year find and review accommodation, compare universities, and make informed decisions about where to live and study.

Our business model combines a consumer-facing platform (StudentCrowd.com) with a B2B Insights product used by accommodation providers, universities, and investors to understand student housing trends, pricing, and demand across the UK and beyond.

We’re growing fast, with 100% coverage of purpose-built student accommodation in the UK, expansion across Europe, and more to come.

As a Data Engineer ou will be responsible for the end-to-end data lifecycle, from ingestion and modeling to visualization and reporting, ensuring high performance, data quality, and robust governance across all systems.

Key Responsibilities:

• Develop, maintain, and optimize robust data ingestion pipelines to process vast and complex accommodation and student datasets.
• Create and manage historical data models within BigQuery to support efficient reporting, sophisticated analytics, and the core functionality of the Insights Tool.
• Focus on optimizing data lake performance to ensure rapid query execution and low-latency reporting for end-users.
• Implement and enforce rigorous data quality checks and governance best practices to ensure the reliability and trustworthiness of all insights presented to clients.
• Develop and maintain the underlying data architecture for visualization and reporting systems.
• Work closely with product managers, analysts, and the Dataset Team to understand data requirements and deliver reliable data products.

What we’re looking for:

• 8+ years of professional experience as a Data Engineer, working on large-scale, production-grade data systems.
• Expert proficiency in building and maintaining data pipelines, including batch and streaming architectures.
• Strong hands-on experience with SQL, query optimization, and complex analytical workloads.
• Solid experience with BigQuery and the Google Cloud Platform, especially in designing and operating data lakes, data warehouses, and distributed processing.
• Expertise in data governance, including data quality frameworks, metadata management, lineage, security, compliance, and access controls.
• Proven ability to work with cross-functional teams, translate business requirements into technical solutions, and ensure reliability and scalability of the data platform.
• Experience with CI/CD, automation, and infrastructure-as-code for data environments (Terraform, Cloud Build, etc.) is a strong plus.
• Familiarity with Python and modern data-engineering tooling (Airflow, Dataflow, dbt/Dataform, Pub/Sub, etc.) is highly desirable.
• Fluent in English

What you’ll gain:

• Salary Range: $5.500 - $6.500 (Monthly)
• 100% remote
• Laptop kit: MacBook Pro (Apple Silicon)
• We expect 25 days of leave + UK or Brazilian holidays each year.
• Unlimited paid holiday and Paid sick leave (after a 90-day probation period)
• Everyone manages their own time off — balancing rest, personal commitments, and team needs.
• There’s no approval process, just open communication and responsibility.
• Flexible working culture with async collaboration across time zones