Senior Data Engineer

5 days ago

Bucharest, Bucureşti, Romania Data Edge Full time €60,000 - €90,000 per year

We are seeking a Data Engineer with strong GCP expertise to join our partner team.
What You Will Do:

  • Architect, implement and support data solutions that meet high standards of reliability, scalability and performance.
  • Build and maintain ETL pipelines to collect, transform and load data from diverse sources into warehouses or other storage systems.
  • Optimize data processing, storage, and querying using GCP services such as BigQuery, Dataflow and Cloud Functions.
  • Oversee data workflows, monitor system health, troubleshoot issues, and perform root cause analysis when problems arise.
  • Partner with analysts, data scientists, and business stakeholders to gather requirements and deliver data solutions that empower their work.
  • Maintain strong data governance by ensuring accuracy, consistency, and security across all data environments.
  • Assess emerging tools and technologies to enhance our data engineering stack and overall efficiency.
  • Produce clear documentation covering engineering workflows, standards, and best practices.

What You Bring:

  • A Bachelor's Degree in Computer Science, Software Engineering or a similar discipline.
  • 5+ years of professional experience as a Data Engineer or in a comparable position.
  • Solid understanding of core data engineering principles, methodologies, and industry best practices.
  • Hands-on experience with GCP services like BigQuery, Cloud
  • Storage, Dataflow, Dataplex, Pub/Sub, and Composer.
  • Strong background in data modeling, schema design, and database technologies (SQL and/or NoSQL).
  • Experience with ETL tools and frameworks such as Apache Beam, Airflow, Kafka or Spark.
  • Proficiency with serverless functions using Python or
  • Familiarity with data quality frameworks and practices.

Nice to Have Skills:

  • Master's degree in a relevant technical field.
  • Experience handling large-scale datasets.
  • Background in automation/orchestration for data quality.
  • Deep understanding of data modeling approaches.
  • Experience with agile methodologies and tools such as Jira or Git.

  • Relevant certifications, such as:

  • Google Cloud Professional Data Engineer

  • Google Cloud Associate Cloud Engineer.

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