Sigma Software Group

Data Engineer – Data Competency Center

Sigma Software Group

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇱 Poland

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Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSAzureCloudKafkaPySparkPythonSparkSQL

About the role

  • Collaborate with clients and internal teams to clarify technical requirements and expectations
  • Implement architectures using Azure or AWS cloud platforms
  • Design, develop, optimize, and maintain squad-specific data architectures and pipelines
  • Discover, analyze, and organize disparate data sources into clean, understandable data models
  • Evaluate new tools for analytical data engineering or data science
  • Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes

Requirements

  • 3+ years of experience in data engineering
  • Hands-on experience with cloud computing services in data and analytics (AWS and/or Azure)
  • Experience with data modeling, reporting tools, data governance, and data warehousing
  • Proficiency in Python and PySpark for large-scale, distributed data processing
  • Advanced SQL skills and knowledge of big data databases (Snowflake, Redshift, etc.)
  • Strong knowledge of Databricks for big data analysis, transformations, and orchestration
  • Understanding of streaming approaches (Kafka, Spark Structured Streaming)
  • Familiarity with CI/CD and DevOps processes
  • Upper-Intermediate+ English
Benefits
  • Professional growth opportunities
  • Access to the latest technologies
  • Supportive team culture

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringcloud computingdata modelingreporting toolsdata governancedata warehousingPythonPySparkSQLbig data databases
Soft skills
collaborationcommunicationanalytical skillsorganizational skillstraining and development