Data Engineer at Silverbird Remote Job

8 out of 10 SMEs from developing countries looking to start exporting today get rejected by banks. Those that manage to get access to accounts, are severely underbanked - facing compliance hurdles, unexplained closures of their accounts and poor customer experiences.
Addressing over six million SMEs globally, with a $500B market opportunity in payments & FOREX alone, Silverbird is on a mission to make international traders bankable again. We're here to enable freedom of trade and make it easy for merchants to grow their businesses internationally.
Today, a team of 90+ distributed across the UK, Lithuania, Georgia, Moldova and other countries we are growing rapidly in customers and headcount. We're preparing for a meaningful growth round, building out the organizational infrastructure to enable us to become a global category leader in international trade.
Currently we are searching for a Data Engineer. You will be reporting to our Head of Analytics and hold responsibility over writing and maintaining ETL procedures.

Our tech stack:

Move data pipelines to Airflow using Python/DBT with the final destination in PostgreSQL
Create ETLs for transferring data from CRM, Marketing platforms like Segment, GA, Facebook Ads, etc
Create and maintain new pipelines for company data projects
Facilitate and explore ways to enhance data quality and reliability (monitoring of ETLs, datasets checks, etc.)

Experience in the field 3+ years
Familiarity with data warehousing (e.g Big Query, Snowflake) ETL/ELT Solutions, and data pipeline architecture (e.g Airflow)
Proficiency in Python and SQL languages
Previous experience with AirFlow and DBT
Experience working with REST APIs
Experience with relational databases. Postgres is an advantage
Experience with performance tuning of long-running SQL queries
Basic knowledge of statistics (averages, medians...)
English - upper intermediate

Benefits