Senior Data Engineer
New
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XebiaData Engineering
Working in hybrid (Stockholm) or fully remote model.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English B2
- Experience
- Several years
- Required Skills
- PythonSQLETLGCPGitKubernetesAirflowSparkCI/CD
Requirements
- Several years of hands-on Data Engineering experience.
- Strong programming skills in Python, SQL, and Spark.
- Proven experience building and operating large-scale ETL/ELT pipelines.
- Hands-on experience with an orchestration tool such as Airflow.
- Experience working with a major cloud provider, preferably GCP (AWS or Azure also welcome).
- Hands-on experience with Kubernetes.
- Solid software engineering fundamentals, including Git, CI/CD, testing, and clean, maintainable code.
- Strong ownership mindset, reliability, and the ability to troubleshoot production issues independently.
- Clear communication skills and the ability to collaborate effectively with cross-functional teams.
- B2 level English proficiency.
Responsibilities
- Own and operate existing data and feature pipelines powering recommendation and advertising machine learning systems.
- Ensure billions of daily events flow reliably through ingestion and processing.
- Support Data Scientists and Analysts by providing reliable data for production models and experiments.
- Take over in-flight initiatives and maintain momentum on pipeline and platform improvements.
- Troubleshoot and resolve data issues to keep the platform stable and within SLA.
- Maintain documentation and runbooks to ensure smooth knowledge transfer.
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