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Sigma Software Group
Sigma Software Group
1001 – 5000 Zaposleni
Avtomobilska industrijaSvetovanjeZdravstveno varstvo
Sigma Software Group je večnacionalno tehnološko svetovalno podjetje, ustanovljeno leta 2002. Njegove ekipe zagotavljajo razvoj programske opreme, grafično oblikovanje, testiranje in tehnično podporo strankam v panogah, kot so avtomobilska industrija, zdravstvo, telekomunikacije, letalstvo, bančništvo, igre, nepremičnine in oglaševanje. Podjetje zaposluje strokovnjake za IT za delo na kompleksnih inženirskih projektih ter podpira poklicni razvoj z mentorstvom in nenehnim učenjem. Delo na daljavo je del njegovega delovnega modela, projekti pa služijo organizacijam, kot so AstraZeneca, Scania in SAS.
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Delovna mesta v podjetju

Senior Data Engineer

Build cloud-native data platforms and near-real-time pipelines, while modernizing Spark and PySpark workloads. Lead the adoption of AI tools and agentic workflows and contribute to technical research and development.

PLPoljskaNa daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni inženir
AirflowApacheAWSAzureETLGoogle Cloud PlatformKafkaMikrostoritveOblakPySparkPythonSparkSQLTerraform

Opis

  • Build scalable cloud-native data platforms from initial design through production.
  • Develop near-real-time ingestion pipelines using event-driven patterns.
  • Set and uphold platform standards for data lakes, lakehouses, medallion architecture, and data contracts.
  • Improve Spark and PySpark scripts for performance and maintainability.
  • Establish code quality, testing, and CI/CD practices across data pipelines.
  • Promote AI tools and agentic workflows within the Data Engineering team.
  • Maintain data quality, observability, scalability, and reliability across platforms and pipelines.
  • Create self-service tools and microservices that make the platform easier to use.
  • Work with Product, Machine Learning, and Data Science teams.
  • Contribute to architecture decisions and technical research and development.

Zahteve

  • Bring at least five years of professional Data Engineering experience.
  • Demonstrate strong Python and SQL development skills.
  • Have hands-on Apache Spark and PySpark experience, including query optimization and performance tuning.
  • Have experience with Databricks or Snowflake.
  • Have practical experience with at least one major cloud provider: Azure, AWS, or GCP.
  • Have experience with stream processing tools such as Kafka or Spark Structured Streaming.
  • Understand ETL/ELT patterns, data modeling, and data warehousing.
  • Have used orchestration tools such as Apache Airflow or Azure Data Factory.
  • Know Infrastructure as Code tools, including Terraform.
  • Understand production systems, including observability, scalability, reliability, and performance.
  • Be able to lead technical initiatives independently from concept through delivery.
  • Communicate and collaborate effectively.
  • Have Upper-Intermediate or higher English proficiency.

Ugodnosti

  • Work remotely.

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Na daljavoPolni delovni časSeniorZahtevani Jezik: angleščinaPodatkovni inženir
AWSEC2JavaScriptNode.jsOblakPythonReactSQLTypeScript

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