Experienced Data Engineer

TL;DR

Experienced Data Engineer (Data Science/ML): Building and optimizing scalable, end-to-end data pipelines for ingesting, transforming, and processing large volumes of data with an accent on cloud platforms, orchestration tools, and data architecture. Focus on designing efficient data workflows, complex querying, and real-time data processing challenges.

What you will do

• Develop and optimize scalable data pipelines for large data volumes.
• Work with cloud platforms such as Azure, AWS, or GCP and orchestration tools like Azure Data Factory, AWS Glue, or GCP Data Flow.
• Design and contribute to data architecture and pipeline decisions collaboratively across teams.
• Perform complex SQL querying and data manipulation for performance optimization.
• Utilize web scraping techniques and tools to gather data.
• Leverage streaming technologies like Apache Kafka for real-time data processing.

Requirements

• English: B2 level or higher required
• Strong programming skills in Python and object-oriented programming principles.
• Experience with data warehouse, data lake, and data lakehouse modeling techniques.
• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP).
• Ability to work collaboratively across teams and contribute to data architecture.

Culture & Benefits

• Psychologically safe and inclusive work environment.
• Transparent and flat organizational structure.
• Private health insurance with family/partner inclusion option.
• Paid training programs, language courses, and in-house lectures.
• Overtime hours convertible to additional days off.
• Team-building events, travel opportunities, and daily subsidized meals.