Sigma Software Group
Sigma Software Group
1,001 – 5,000 Employees
AutomotiveConsultingHealthcare
Sigma Software Group is a multinational technology consulting company founded in 2002. Its teams provide software development, graphic design, testing, and technical support for clients in sectors including automotive, healthcare, telecommunications, aviation, banking, gaming, real estate, and advertising. The company hires IT specialists to work on complex engineering projects and supports professional development through mentoring and continuous learning. Remote work opportunities are part of its working model, with projects serving organizations such as AstraZeneca, Scania, and SAS.

Middle Data Engineer (Azure, Spark) — Poland Remote

Build Azure data platforms and scalable pipelines that support analytics and operations. Develop Spark workflows, data models, and dependable cloud data solutions.

Description

  • Build scalable, dependable data platforms and pipelines for analytics and operations
  • Develop distributed data processing workflows with Apache Spark, PySpark, and Databricks
  • Extend the cloud data platform using Azure Data Factory, Synapse, Event Hub, and Azure Data Lake Storage
  • Create data models for analytics, reporting, and downstream use
  • Integrate and process data from multiple sources while maintaining quality and consistency
  • Monitor and improve pipeline performance, reliability, and scale
  • Work with analysts, data scientists, and engineers to turn requirements into solutions
  • Strengthen data engineering practices, testing, and operational reliability
  • Assess and adopt tools and technologies for the data engineering ecosystem

Requirements

  • At least four years of practical experience in data engineering or building data processing platforms
  • Strong SQL skills
  • Solid Python experience developing pipelines
  • Experience with distributed processing frameworks such as Apache Spark or PySpark; Databricks is preferred
  • Practical experience designing and implementing pipelines in cloud environments; Azure is preferred
  • Experience with production-scale analytical systems and data modeling
  • Knowledge of ETL/ELT design, dimensional modeling, and data warehousing principles
  • Experience with modern data lake architectures and formats such as Parquet and JSON
  • Familiarity with workflow orchestration tools such as Airflow
  • Experience developing and optimizing databases
  • Ability to design scalable solutions with minimal supervision
  • Strong collaboration and communication skills
  • Professional proficiency in English

Benefits

  • Opportunities for professional growth
  • Supportive work environment
  • Competitive benefits
  • Remote work option

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