Job Openings Senior Data Engineer

About the job Senior Data Engineer

A US-based company is redefining the direct mail industry with cutting-edge programmatic solutions. Their innovative platform combines the proven effectiveness of direct mail with the precision and scalability of digital advertising. By building a Demand-Side Platform DSP tailored specifically for physical postal campaigns, they are empowering advertisers to target audiences with unmatched accuracy and efficiency.

Joining the company means you´ll play a pivotal role in pioneering the future of programmatic advertising for direct mail. They value innovation, collaboration, and a passion for solving complex problems, making this an ideal opportunity for professionals who thrive in dynamic, fast-paced environments.

They are seeking an experienced Senior Data Engineer to design, implement, and maintain the data pipelines and systems powering our platform. Youll be responsible for processing real-time and historical data to support our RTB engine, campaign reporting, and analytics tools. This is a chance to work on cutting-edge data infrastructure and shape the technical foundation of a revolutionary product.

​​Your work will include:

  • Design and build real-time data pipelines using Apache Kafka to process bid requests, inventory updates, and delivery confirmations.
  • Implement batch ETL workflows for historical campaign performance and inventory analysis using tools like AWS Glue or Apache Spark.
  • Data Engineer 2 Collaborate with Backend Engineers to ensure data is accessible and structured for APIs and reporting systems.
  • Optimize data storage and retrieval for large-scale datasets using solutions like AWS S3, Redshift, or Snowflake.
  • Ensure data quality, consistency, and security across all components of the platform. Monitor and troubleshoot data pipeline performance and reliability.


What You Bring

Required Skills and Experience

  • Education: Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent practical experience).
  • Experience: 5+ years in data engineering or related fields.

  • Expertise in real-time streaming frameworks like Apache Kafka or Flink.

  • Proficiency in batch processing frameworks such as Apache Spark or AWS Glue.

  • Strong knowledge of database systems, including PostgreSQL, Redshift, and Snowflake. Proficiency in Python, Java, or Scala for data processing tasks.

  • Experience with cloud platforms, particularly AWS, and services like S3, Lambda, and Athena.



Preferred Skills

  • Experience with geospatial data processing and tools like PostGIS or Elasticsearch.
  • Familiarity with data warehouse tools like BigQuery.

  • Understanding of CI/CD processes for deploying and maintaining data pipelines.



​​What makes this role exciting:

  • Be a Pioneer: Shape the future of programmatic advertising for direct mail.

  • Collaborative Environment: Work alongside a passionate, experienced team solving challenging problems.
  • Growth Opportunities: As we grow, so do the opportunities for career advancement.
  • Flexible Work: a Remote-first culture with the flexibility to work from anywhere.