Senior Data Engineer: Build Scalable Pipelines & Insights

Netflix; Warszawa; On-site; PLN 100,000 - 130,000; Full time

Job summary

A leading entertainment service provider in Warsaw is seeking an experienced Data Engineer to join their Data Engineering organization. The role involves building and optimizing data pipelines to support diverse use cases across the organization. Candidates should have over 6 years of experience, strong skills in Python or Scala, and proficiency in SQL. The position requires effective collaboration with stakeholders and a focus on delivering high-quality data insights. This is an opportunity to work in a dynamic environment and make a tangible impact on the company's engineering efficiency.

Qualifications

• 6+ years of experience building data pipelines in batch and/or real-time settings.
• Proficiency in Python and/or Scala for scripting and automation.
• Ability to write complex SQL for workflows.
• Experience with data sourcing from APIs and event streams.
• Experience mentoring team members and navigating ambiguity.

Responsibilities

• Own critical data pipelines to support various use cases.
• Collaborate with stakeholders to deliver high-quality data.
• Translate business questions into clear data requirements.
• Build partnerships with data scientists and machine learning practitioners.

Skills

Data pipeline construction

Python scripting

SQL proficiency

Data modeling

Collaboration skills

Tools

Spark

Flink

Kafka

Job description

A leading entertainment service provider in Warsaw is seeking an experienced Data Engineer to join their Data Engineering organization. The role involves building and optimizing data pipelines to support diverse use cases across the organization. Candidates should have over 6 years of experience, strong skills in Python or Scala, and proficiency in SQL. The position requires effective collaboration with stakeholders and a focus on delivering high-quality data insights. This is an opportunity to work in a dynamic environment and make a tangible impact on the company's engineering efficiency.