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Sigma Software

Strong Middle Data Engineer

Sigma Software Warsaw, Masovian Voivodeship, Poland

Software Development · 1,001-5,000 employees

5 h ago
data-engineer Mid (2-5 yrs) Full-time Poland
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About the role

Design and develop scalable data platforms and pipelines using distributed frameworks like Apache Spark and Azure technologies. Collaborate with cross-functional teams to model data, ensure quality, and optimize pipeline performance for analytics and operations.

What they look for

Data engineering SQL Python Apache Spark PySpark Databricks Azure Data Factory Azure Synapse Event Hub Azure Data Lake Storage ETL ELT Dimensional modeling Data warehousing Airflow Data modeling

Requirements

Requires 4+ years of hands-on experience in data engineering and building data processing platforms. Candidates must possess strong SQL and Python skills, along with practical experience in cloud environments and distributed processing frameworks.

Benefits

Professional growth opportunities Supportive environment

Full description

Company Description

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.

Job Description

  • 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

Qualifications

  • 4+ 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

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