Analytics Engineer

September 24

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Banking • Banking-as-a-Service • Embedded Finance • Embedded Banking • Banking services

51 - 200

Description

• Collaborate with data team members, software engineers, and business stakeholders. • Develop and maintain SQL pipelines for business domains. • Create reusable and scalable analytical solutions to empower stakeholders. • Contribute to internal guidelines and best practices in analytics engineering. • Keep up with industry standards and emerging tools.

Requirements

• At least 3 years of experience in data field, with hands-on experience in data modelling. • Experience with DBT. • Strong proficiency using SQL in cloud data warehouses (e.g. BigQuery, Snowflake, Redshift). • Previous experience in fintech industry and/or with a technical product. • Experience working with modern data stack technology, ideally during the setup and/or scaling phase. • Ability to dissect complex business problems, evaluate options, and implement production-quality solutions. • Comfortable navigating ambiguity and working in dynamic environments with minimal supervision. • Fluent in English. • Empathetic, skilled, and frank; capable of challenging and collaborative teamwork.

Benefits

• Hybrid remote policy: Work from home 2 days per week. • The best health insurance: Alan 🦭 • Partnerships with Classpass & Gymlib for fitness. • Mid-day free-time is sacred; Swile card for meals. • Twice a year team retreats to gorgeous locations.