Senior Data Engineer

TL;DR

Senior Data Engineer: Develop and maintain real-time streaming and batch data pipelines processing billions of records daily with an accent on performance optimization, distributed systems, and real-time data processing. Focus on building end-to-end solutions, working with technologies like Flink, Spark, Kafka, Kubernetes, and multiple programming languages including Golang, Java/Scala, and Python.

What you will do

• Develop and own real-time streaming and batch data pipelines processing billions of records per day.
• Manage services and infrastructure for request enrichment, data exports, campaign analytics, and fraud detection with low-latency SLAs.
• Build end-to-end solutions from design to deployment and monitoring.
• Work with technologies such as Flink, Spark, Kafka, Protobuf, Kubernetes, Argo WF, Jenkins, Github, Golang, Java/Scala, and Python.
• Develop monitoring and alerting for critical Big Data pipelines.
• Participate in on-call rotation to support production systems and ensure high availability.

Requirements

• 4+ years of experience in backend or data engineering.
• Proficiency in Golang, strong experience with Java and/or Scala, and experience with Python and SQL.
• Hands-on experience with streaming platforms like Flink, Spark, Kafka.
• Production experience with Kubernetes and containerized services.
• Solid knowledge of cloud infrastructure (AWS/GCP/OCI).
• Familiarity with CI/CD, observability tools (Prometheus/Grafana), and distributed systems.

Culture & Benefits

• Polish public holidays observed.
• 20 working days per year as Non-Operational Allowance for personal recreation, compensated in full with no rollover.
• Health insurance provided.
• Gym subscription (Multisport).