Business Intelligence Engineer Job Opportunity at GoCardless

About Us

At GoCardless, we believe bank payments are the optimal way to pay and get paid. We also see bank account data as a powerful tool for making better, quicker decisions. Our mission is to make both accessible for businesses globally.

Currently, GoCardless facilitates domestic and international payments for over 85,000 organizations, processing more than $30 billion across 30 countries. Based in London, our award-winning fintech company has additional offices in Riga, Paris, and Melbourne.

The Role

We are seeking experienced Business Intelligence Engineers to support our growing operations and enhance our data capabilities. In this role, you'll play a pivotal part in the digital transformation of GoCardless by strategically managing, efficiently utilizing, and securely maintaining data. You will develop foundational models that provide deep insights into our fast-growing business, building with scalability and resilience in mind from the outset.

You'll be part of our Product Development division, collaborating with both technical and non-technical teams across the organization. In close partnership with our BI Analysts, Data Engineers, and Data Operators, you'll design and implement the foundations necessary for delivering first-class analysis.

Tech Stack and Tools

Python, Looker, Google Cloud Platform, BigQuery, among others.

Main Responsibilities

• Develop and maintain a data architecture that aligns with GoCardless' long-term strategic goals.
• Provide technical expertise in the design, implementation, and maintenance of our data warehouse.
• Develop coherent and performant data models that transform large, complex, and disparate datasets into accessible, understandable, and accurate data products.
• Collaborate with engineers to prototype, design, and build pipelines that process raw data from production systems, presenting it in a format suitable for both analytical and transactional workloads.
• Build BI tooling that fully leverages the capabilities of Google Cloud Platform and BigQuery.
• Support staff across the company in self-serving Business Intelligence through BI tools such as dbt and Looker.

What Excites You

• A solid track record as a data engineer working with cloud tools.
• An innate ability to spot opportunities and solve problems with data autonomously.
• Clear communication skills for sharing technical work with diverse audiences.
• Experience in transforming complex business requirements into scalable and robust data products.
• Proficiency in quickly understanding any dataset you're working with.
• Prior experience in automating repetitive tasks and building robust ETL pipelines.

What Excites Us

• Strong knowledge of data architecture, data modeling, and database design.
• Excellent SQL skills and experience with scripting languages like Python.
• Experience with Big Data technologies (e.g., BigQuery, Snowflake) and handling data at significant scales.
• Familiarity with self-serve data tools like Looker or Tableau; we're currently using Looker.
• Experience working in an agile, fast-paced environment.
• Ability to communicate your work clearly to both technical and non-technical audiences.
• Comfort discussing data modeling approaches and sourcing data from third-party APIs.

We don't expect you to meet every requirement. If you're excited by this role, we encourage you to apply.

Benefits

• Wellbeing: Dedicated support and medical cover to stay healthy.
• Work Away Scheme: Apply to work away from your country of residence for up to 90 days within any 12-month period.
• Adaptive Working: Flexible work options tailored around your lifestyle.
• Equity: All permanent employees receive equity to share in our collective success.
• Parental Leave: Tailored to support life's great adventure.
• Time Off: Generous holiday allowance, three annual volunteer days, and four annual company-wide wellness days (GC Fridays).

Life at GoCardless

We are driven by our values. We start with "why" before any project to ensure alignment