56 минут назад
Senior Analytics Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Snowflake/dbt): Building an AI-enabled analytics platform with Snowflake SQL pipelines, governed dbt models, and Looker semantic layers, with an accent on data modeling, reliability, and self-serve analytics. Focus on creating audit-ready financial datasets, designing quality frameworks, and structuring trusted data for AI agents and LLM-driven productivity.
Location: London, United Kingdom
Company
Payments is a fintech platform that uses data and AI to provide merchants with 0% payment processing fees and monetizes through value-added financial services.
What you will do
- Translate raw event streams and product data schemas into warehouse models that provide a single source of truth for key metrics.
- Build and maintain governed dbt models, data marts, metrics, and reusable datasets in Snowflake.
- Develop dimensional models and OBT designs to balance warehouse performance with BI accessibility.
- Own the Looker semantic layer and establish maintainable definitions for metrics and dashboards.
- Design testing, monitoring, alerting, audit logging, and reconciliation frameworks for reliable analytics data.
- Partner with Finance, Sales, and Compliance to create audit-ready datasets and prepare high-quality context for AI agents.
Requirements
- Expert SQL skills and experience writing performant code in Snowflake.
- Proven experience building and scaling dbt pipelines, including incremental loading, macros, and late-arriving data.
- Experience developing complex semantic layers in Looker.
- Practical experience with event-driven and time-series data modeling.
- Expertise in dimensional modeling, Star Schemas, OBT designs, Slowly Changing Dimensions, and schema evolution.
- Experience in Finance, Insurance, or FinTech, with a strong focus on data integrity, reconciliation, and technical communication.
Culture & Benefits
- Flexible working model with a work-from-home setup.
- Tax-advantaged share options.
- Learning and development opportunities.
- Contributory pension scheme.
- Private medical insurance, four-times life insurance, and additional paid days off.
- Team lunches, social evenings, and an inclusive workplace.
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