
Job Overview
Location
London
Job Type
Full-time
Category
Data Science
Date Posted
May 26, 2026
Full Job Description
đź“‹ Description
- • Work as the second member of the data team alongside the Lead Data & Analytics Engineer to build a scalable data platform that powers decision-making across GetGround.
- • Develop and maintain modular, testable, and well-documented dbt models in BigQuery to support analytics across Product, Design, Growth, and RevOps teams.
- • Co-govern the Count Metrics Catalog (semantic layer) to ensure consistency, accuracy, and trust in key business metrics.
- • Implement and optimize event-level product analytics using Mixpanel and Avo to ensure robust instrumentation and semantic clarity.
- • Collaborate closely with cross-functional product and design teams to translate business questions into data initiatives, from concept to deployment.
- • Build and maintain CI/CD pipelines for data workflows using Dagster and git to ensure reproducibility and reliability of analytics outputs.
- • Enable self-serve analytics by empowering non-technical stakeholders with clear, accessible data products and documentation.
- • Drive adoption of AI tools as co-pilots in development, enhancing productivity while maintaining code quality and auditability.
- • Mentor junior engineers and contribute to shaping analytics best practices in an AI-first development culture.
- • Proactively uncover business insights through data exploration and influence strategic decisions at all levels of the organization.
- • Maintain a high standard of code quality, documentation, and stakeholder trust in all data outputs.
- • Support the evolution of the data infrastructure to scale with rapid business growth, ensuring performance, clarity, and maintainability.
- • Work in a hybrid environment with four days per week in the London Waterloo office; Wednesday is designated as a remote day, though in-office attendance is permitted.
- • Participate in team and company-wide events to foster collaboration and culture.
- • Engage in 360° performance reviews to support continuous growth and development.
- • Contribute to professional learning through support for conferences and upskilling opportunities.
- • Utilize a modern tech stack including BigQuery, dbt-core/fusion, Dagster, Count, and Mixpanel to deliver high-impact analytics solutions.
- • Ensure data governance and semantic consistency across all analytics initiatives to align business understanding with technical implementation.
🎯 Requirements
- • 3-5+ years in analytics engineering, data engineering, or similar roles with production-grade analytics experience
- • Fluency in SQL and comfort with git, dbt, and cloud-based warehouses (specifically BigQuery)
- • Experience implementing CI pipelines, modular dbt practices, and working with event-level product analytics data
- • Someone who cares deeply about code quality, reproducibility, and stakeholder trust
- • A collaborative mindset, with experience mentoring others, challenging assumptions, and asking "why?"
- • Willingness to work hybrid with four days per week in the London Waterloo office
🏖️ Benefits
- • Competitive salary
- • Stock options
- • Private health & dental
- • 12 Mental health days off annually (1 per month) PLUS holidays + public holidays
- • Monthly wellness budget
- • 1 paid Community day off (paid day off to volunteer for a charitable cause)
- • Hybrid working
- • Free breakfast daily
- • Team and company-wide events
- • 360° performance reviews to promote a culture of growth and development
- • Support for conferences and professional learning & development
Skills & Technologies
About GetGround Limited
GetGround Limited operates as an all-in-one property investment platform, specifically designed to streamline the entire property investment process for individuals and businesses. The platform offers comprehensive tools and services that simplify various aspects of property acquisition, management, and portfolio optimization. By centralizing essential investment functionalities, GetGround empowers its users to navigate the complexities of the real estate market more efficiently and with increased confidence. This dedicated approach ensures that investors have access to an integrated experience, enabling them to make informed decisions and achieve their financial objectives within the property sector.
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