Role overview
We are looking forward to meeting Data Engineer/DataOps/Data Architect to cooperate on data migration and integration.
As a new Data Team in Ramp, we are starting with data integration, sustainable Descriptive analytics and A/B testing. But we are rapidly moving towards Predictive and Prescriptive analytics. You will be working closely with the Product Team to make high-impact, data-informed decisions regarding future product development.
We are flexible - we could cooperate on a long-term basis (joining our core team with ESOP, paid holidays and other standard startup goodies) or short-term consultancy; remotely or on-site (relocation possible) in the centre of Warsaw, Wroclaw or London.
What you'll work on
👉 In general, technical support of data strategy implementation, in particular:
👉 Ownership of (analytical) data architecture focused on descriptive, predictive and prescriptive analytics
👉 Utilization of best practices (dbt, dagster, great for our Data Warehouse to reduce complexity and costs, using dbt (Data Build Tool; dagster, Great Expectations - nice to have); Python; Google Analytics; Airbyte, Airflow or alternatives; GitHub; ClickUp
👉 Data ingestions into the cloud data warehouse (BigQuery)
👉 Support of integration of different data sources (Google Analytics; transactional data; SFTP; public datasets using APIs, webhooks) in BigQuery
👉 BigQuery performance optimization
👉 BigQuery data security management
👉 BigQuery data quality monitoring and improvement
What we're looking for
👉 is friendly and professional; excited by the possibilities of working on the intersection of FinTech and blockchain (no blockchain experience required)
👉 is ready to work (!) in a rapidly scaling up startup. It is not about work for the sake of work - we are directly contributing to the success of our product. We are growing very fast and want to keep users as happy as possible.
👉 has at least +2 years of experience as Data Engineer/DataOps/Data Architect