Data Analytics Engineer | London (Hybrid) | Private Equity Data SaaS

About the Opportunity

Join a pioneering fintech that's transforming private markets through data innovation. We're looking for a Data Analytics Engineer to own the transformation layer, deliver trusted datasets, and drive better decision-making for top-tier investors.

Key Responsibilities

• Build and maintain scalable, modular dbt models on Databricks and PostgreSQL
• Ensure high-quality, production-ready datasets through strong testing and observability practices
• Partner with stakeholders to define KPIs and develop reliable, actionable metrics
• Troubleshoot, monitor, and quickly resolve data inconsistencies or model failures
• Contribute to CI/CD pipelines and drive best practices across data governance and documentation

Tech Stack

• SQL
• dbt (Core)
• Python
• Databricks
• PostgreSQL
• Git + CI/CD

What We’re Looking For

• 2–4 years of experience in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL skills with a focus on performance and scalability
• Hands-on experience using dbt in production environments
• Experience working with Databricks and/or PostgreSQL
• Strong understanding of data testing, observability, and quality assurance
• Familiarity with Git workflows and modern development practices
• Clear communicator with a collaborative approach

Bonus Skills

• Python scripting
• Cloud experience (preferably Azure)
• Knowledge of Private Equity or accounting concepts

What’s on Offer

• Fast-paced, high-growth start-up environment
• Strong ownership and autonomy in your role
• Competitive salary, discretionary bonus, pension, and long-term incentive opportunities
• 25 days holiday
• Flexible hybrid working model