Social network you want to login/join with: 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 SQL dbt (Core) Python Databricks Git + CI/CD What Weβre Looking For 2β4 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 Whatβs 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 #J-18808-Ljbffr
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