(Sr) Data Engineer Retail Media, Measure & Forecast

2 months ago

Zürich, SwitzerlandSenior

Responsibilities

Design, develop, and maintain scalable Spark and Python data pipelines for high-volume datasets.
Implement and optimize Apache Iceberg, Avro, Hadoop, S3/GCS, and Trino-based storage and querying systems.
Build, manage, and scale real-time ingestion pipelines using Kafka and MQTT.
Create REST APIs, develop Apache Superset visualizations, and maintain internal and external data contracts.
Collaborate with Data Scientists and Backend Engineers to transform raw data into features and integrate data products into core applications.
Support systems combining real-time streaming, large-scale batch processing, lakehouse architectures, and cloud-based analytics.

BSc/MSc in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
At least 5 years of experience in data engineering or software development.
Proficiency in Python, including a deep understanding of Spark internals and REST APIs.
Strong SQL skills and hands-on experience with distributed querying using Trino.
Experience with event-driven architectures using Kafka and MQTT.
Experience with big data infrastructure such as Hadoop and Iceberg.
Experience with containerized development workflows using Docker.
Fluent written and spoken English.
Rust, cloud infrastructure or managed data services, Terraform, Ansible, Prometheus, Grafana, OpenTelemetry, ELK, or Loki experience is advantageous.

Hybrid work environment with flexibility between remote and in-person work.
Employee participation plan.
Budget for professional development, learning, and growth.
International startup environment with opportunities for future leadership and specialist roles.
In-person collaboration at the office and team events.

11-50 employees