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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.
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Data Engineer (Azure, Spark) — Remote in Ukraine

Build scalable Azure data platforms and pipelines that support analytics, reporting, and data-informed decisions. Develop Spark workflows and dependable data processing in collaboration with multiple teams.

UAUkraineRemoteFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowAmazon RedshiftApacheAzureBigQueryCloudETLKafkaPySparkPythonSparkSQL

Description

  • Build scalable, reliable data platforms and pipelines for analytical and operational needs.
  • Create data processing workflows with distributed frameworks such as Apache Spark and PySpark on Databricks.
  • Help advance the cloud data platform with Azure services, including Data Factory, Synapse, Microsoft Fabric, Databricks, Event Hub, and Azure Data Lake Storage.
  • Integrate and process internal and external data while maintaining consistency, quality, and reliability.
  • Own pipeline reliability, monitoring, and performance.
  • Work with analysts, data scientists, and engineers to turn business and analytical needs into robust data solutions.
  • Improve data engineering practices, including pipeline standards, testing, and operational reliability.
  • Evaluate and help introduce tools and technologies for the data engineering environment.

Requirements

  • Bring at least four years of hands-on experience in data engineering or building data processing platforms.
  • Use SQL confidently and have solid Python experience developing and maintaining data pipelines.
  • Have experience with distributed processing frameworks such as Apache Spark or PySpark; Databricks experience is a strong advantage.
  • Have practical experience designing and implementing cloud data pipelines, preferably on Azure.
  • Have designed pipelines and data models for production-scale analytical systems.
  • Understand ETL/ELT design, dimensional modeling, and data warehousing principles.
  • Have experience with modern data lake architectures and formats such as Parquet and JSON.
  • Have used workflow orchestration tools such as Airflow.
  • Have experience with database development and performance optimization.
  • Be able to design scalable, maintainable data solutions with minimal supervision.
  • Communicate and collaborate effectively.
  • Have professional working proficiency in English.
  • Have experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
  • Have experience with streaming technologies such as Event Hub, Kafka, or Spark Streaming.
  • Have experience with Delta Lake or other lakehouse technologies.
  • Be familiar with CI/CD practices and Git-based development workflows.
  • Have experience working in agile development environments.

Benefits

  • Work remotely.

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