Senior Data Analytics Engineer

We’re building a modern, consumer-focused financial product designed to help people manage everyday spending while supporting small businesses. This is a high-impact technical role at the intersection of data engineering and analytics, with ownership over a core consumer data domain. You’ll work closely with backend engineers, maintain business-critical data pipelines, and enable teams across Product, Marketing, Finance, and Risk to make data-driven decisions through reliable, self-service analytics. Your work will span real-time event streams, data transformations, and business intelligence dashboards, ensuring data accuracy and scalability in a fast-growing environment. What You’ll Do Own and maintain end-to-end data infrastructure for a core product domain, including dbt transformation pipelines, data marts, and BI dashboards Partner with backend engineers on integrations with tools such as CRM platforms, customer support systems, and analytics tools Handle real-time event streams and data flows, including transformations and data warehouse management Build and optimise production-grade dbt models, ensuring data quality, reliability, and performance Enable self-service analytics through well-structured datasets, dashboards, query templates, and documentation Monitor pipeline health, troubleshoot failures, and implement data quality checks for business-critical reporting Drive technical improvements such as incremental processing, performance optimisation, and scalable data architecture Translate stakeholder requirements into robust, maintainable technical solutions Act as the primary data owner and subject-matter expert for your data domain What We’re Looking For 3–5+ years of experience in analytics engineering or data engineering Expert-level SQL skills for complex transformations and performance optimisation Strong hands-on experience with dbt in production environments Experience with cloud data warehouses (Snowflake or similar) Experience with BI and dashboarding tools (Tableau, Looker, or similar) Familiarity with data orchestration tools (Apache Airflow or similar) Experience with event-driven architectures and streaming platforms (Kafka or similar) Proven experience with API integrations and ELT/ETL pipelines Strong documentation skills and a passion for enabling self-service analytics Ownership mindset, proactive communication, and ability to work in fast-paced environments Nice to Have Experience in fintech or financial services Familiarity with customer and product analytics platforms (e.g. mobile attribution, web analytics) Tools SQL dbt (Data Build Tool) Snowflake Kafka Apache Airflow Tableau Looker Google Analytics AppsFlyer API Integrations Cloud Data Platforms ETL / ELT Pipelines Application Note You don’t need to meet every requirement to apply. If this role aligns with your experience and interests, we’d still like to hear from you. Apply tot his job