What we offerVacanciesData Engineer

Data Engineer

Middle Strong Middle Remote
Europe, Bulgaria, Poland, Romania
Engineering, Data Engineering, Software Development, Python
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Required skills

SQL / strong
Python / strong
Apache Spark/pySpark / strong
Azure Data Platform / strong
Data Modeling / strong

Are you passionate about building scalable, high-performance data solutions? We are looking for a Data Engineer to join our team and help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making.

Why join us? You will work on challenging projects, collaborate with talented experts, and have access to professional growth opportunities, a supportive environment, and competitive benefits.

Requirements

  • 3+ years of hands-on experience in data engineering or building data processing platforms
  • Strong SQL skills and solid Python experience for pipeline development
  • Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred)
  • Practical experience designing and implementing pipelines in cloud environments (Azure preferred)
  • Experience with production-scale analytical systems and data modeling
  • Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles
  • Experience with modern data lake architectures and formats (Parquet, JSON)
  • Familiarity with workflow orchestration tools (Airflow)
  • Experience with database development and optimization
  • Ability to design scalable solutions with minimal supervision
  • Strong collaboration and communication skills
  • Professional proficiency in English

Responsibilities

  • Design and develop scalable, reliable data platforms and pipelines for analytics and operations
  • Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks)
  • Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage)
  • Model data to support analytics, reporting, and downstream consumption
  • Integrate and process data from multiple sources ensuring quality and consistency
  • Monitor and optimize pipeline performance, ensuring reliability and scalability
  • Collaborate with analysts, scientists, and engineers to translate requirements into solutions
  • Improve data engineering standards, testing, and operational reliability
  • Evaluate and introduce new tools and technologies in the data engineering ecosystem
Meet your team!

WHY US

  • Diversity of Domains & Businesses
  • Variety of technology
  • Health & Legal support
  • Active professional community
  • Continuous education and growing
  • Flexible schedule
  • Remote work
  • Outstanding offices (if you choose it)
  • Sports and community activities

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