Data Engineer

Cloud-based sales and marketing software company trusted by over 100,000 companies worldwide, operating since 2010 as a unicorn from Estonia.
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer

Pipedrive, a leading cloud-based sales and marketing software company, is seeking a Data Engineer to join their growing team in Prague. Since 2010, Pipedrive has evolved from a five-person startup to an international unicorn with over 850 employees across ten global offices. The role offers an exciting opportunity to work with cutting-edge technologies like Apache Spark, Kafka, Flink, and Airflow in an AWS cloud environment processing terabytes of data daily.

The ideal candidate will join a dynamic data engineering team focused on building and maintaining data pipelines, creating analytical models, and preparing data for visualization tools like Tableau. This position requires strong technical skills in Python, distributed systems, and data modeling, combined with excellent communication abilities to work effectively with internal stakeholders.

The company offers a vibrant, multicultural work environment with team members from over 50 countries. Benefits include flexible working hours, comprehensive healthcare coverage, generous vacation time, and various lifestyle perks. The Prague office features modern facilities, including a free sauna, and the company provides substantial support for professional development through training opportunities.

This role is perfect for a data professional who wants to make an impact in a fast-growing tech company while working with modern data technologies and contributing to a product used by over 100,000 companies worldwide. The hybrid work model offers flexibility while maintaining team collaboration, and the company's value-driven culture ensures a supportive and engaging work environment.

Last updated a month ago

Responsibilities For Data Engineer

  • Design, implement, document, and visualize reusable analytical models
  • Develop and deploy data solutions with monitoring and maintenance
  • Analyze requirements from internal customers
  • Assist customers in using the Data Warehouse efficiently
  • Lead system design and architecture initiatives
  • Perform code reviews and provide feedback
  • On-board new developers
  • Participate in on-call rotations

Requirements For Data Engineer

Python
Kafka
  • At least 3 years of engineering experience (preferably in Python)
  • Experience with building and maintaining production-grade data pipelines
  • Experience with distributed data processing systems (Apache Spark, Apache Flink)
  • Familiarity with cloud computing technologies (AWS, Azure, or GCP)
  • Experience with SQL and data modeling
  • Knowledge of modern data stack tools
  • Excellent communication and writing skills
  • Familiarity with agile methodologies
  • BSc or MSc in computer science, mathematics, statistics or similar

Benefits For Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Education Budget
  • 25 days of vacation + 5 health days per year
  • Private medical care
  • Meal allowance for workdays in Prague office
  • Monthly contribution for sports, books, and entertainment
  • 365-day Prague public transport ticket
  • Paid sick leave
  • Retirement fund savings
  • Free sauna in Prague office
  • Flexible working hours
  • Internal and external training opportunities

Interested in this job?

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