Data Engineer

Maintain, improve and develop our data pipeline infrastructure 

Assemble large, complex data sets that meet business requirements

Identify, design, and implement internal process improvements together with key stakeholders to increase automations, optimize data visibility and accessibility, and  support decision making processes 

Build analytics tools, dashboards,  that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Provide our clients with operational dashboards. 

Keep our data secure

Share your knowledge within the Wunder team

3+ years previous experience as a data engineer, or in a similar role 

Good technical expertise with data models, data mining, and segmentation techniques 

Experience with GCP,  AWS and the surrounding ecosystem of services and tools (S3, Athena, AWS Glue, Firebase)

Advanced SQL knowledge and experience with Python, Spark, Snowflake,  Airflow, Databricks, Quicksight and Google Looker Studio

Previous experience implementing and maintaining data infrastructure

Ability and willingness to work independently to bring our data intelligence strategy into action

Excellent communication and stakeholder management skills

Excellent English language skills