Senior Data Engineer at Reaktor

📋 Description

• Design scalable batch and streaming data pipelines (ETL/ELT).
• Develop infrastructure, integrations and APIs for data storage and delivery.
• Collaborate with clients and domain experts to define data needs.
• Work with data scientists and ML engineers on end-to-end data products.
• Build end-to-end pipelines for impression data and recommendations.
• Explore data lakes, semantic search and ML pipelines.

🎯 Requirements

• Hands-on data engineering experience.
• SQL/database experience: PostgreSQL, DynamoDB, Redshift, BigQuery.
• Data platforms/lakes/warehouses: Databricks, Snowflake.
• Python required; PySpark and Pandas; Java/TypeScript bonus.
• Cloud providers: AWS, Azure or GCP.
• Infrastructure-as-code: Terraform, CloudFormation or CDK.

🎁 Benefits

• Impact how you work; teams choose approach and technologies.
• Strong supportive community.
• Team that wants you to succeed.
• Sustainable work-life balance and perks like car share and family support.
• Internal training, events and Cloud Academy opportunities.
• DEI and inclusive culture.