Senior Data Engineer: BI & Marketing Analytics

Design and deploy features for our cloud-based Data Lake and our Customer Lifetime Value (CLV) product in an agile, test-driven environment. Build scalable data-processing pipelines in the cloud using technologies like Apache Spark, Hive, BigQuery, micro-services, Kubernetes. Use Python and SQL to analyze digital marketing performance.

Requirements

5+ years of data engineering and development experiencePassionate about data with a strong ability to learn new technologiesStrong ability to learn new technologiesSuccessful completion of a degree in computer science, software engineering or applied statistics or similarExpert level experience with Google cloud platform, BigQuery and SQLFamiliarity with big data technologies like Spark and Hive, event-driven architectures (e. g. Pub/sub, Kafka)

Benefits

Encouraged personal developmentIndividual external and internal trainingConference visitsRegular appraisalsHybrid work modelScheduled office check-ins to foster collaboration and team alignmentOpportunity to work with leading national and international eCommerce companiesAccommodation provided for international work assignments.