Data Engineer, Financial Data

Dublin

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Stripe
Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes, including fraud prevention, and subscription management.
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Data Engineer, Financial Data

Stripe’s core mission is to reduce the barriers faced by large and emerging businesses around the world by abstracting away the complexities of payments. The Global team is responsible for building the payment products & infrastructure needed to launch new markets and process payments successfully around the world.

The Financial BI Engineering team has the charter for designing and building reporting data and analytics applications, while building and managing the related data environment and underlying infrastructure for all financial data at Stripe. Data Engineers on the Financial BI Engineering team build data pipelines, tools, BI dashboards, and SQL queries to support data consumers such as Accounting, Financial & Strategy, and Business Leaders. The use cases include financial reporting and statements, accounting close & auditing, core business metrics, financial forecasting, and financial data analytics.

You will:

  • Collaborate across the company, including finance teams and product teams, to analyze and provide data insights for billions of dollars moving through the Stripe platform.
  • Design, build, and optimize financial data pipelines, tooling, dashboards, SQL queries and interfaces to provide internal  customers with usable, reliable, and toil-reducing means of data consumption. 
  • Develop interfaces and procedures to accelerate our Finance teams roadmap, including adherence to recurring reporting deadlines, financial analysis, and audit commitments.
  • Design and implement systems to enable information needs that may not fit into a broader, scheduled data model or system.

The ideal candidate possesses many of the following:

Key Qualifications:

  • Have a strong analytical or engineering background and are interested in data.
  • Proficient in SQL.
  • Experiences with building ETL data pipelines/datasets using at least one of the following frameworks (or something similar): Hadoop/Spark/Spark SQL/Hive/Pig/Presto.
  • Working knowledge of Airflow or some other scheduling tool.
  • Excellent problem solving and communication skills.

Nice to Haves:

  • Familiar with data visualization tools such as Tableau or PowerBI.
  • Knowledge of or willingness to learn general finance standards and processes, such as accounting close, financial statements, auditing, financial planning, and analysis.
Job region(s): Europe
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