Data Engineering Lead

3 dni temu


Puławska Warszawa, Polska Square One Pełny etat

About Square One

Square One is a leading company in the industry, dedicated to delivering innovative solutions and exceptional results.

Estimated Salary: $140,000 - $170,000 per year

Job Description

We are seeking an experienced Data Engineer to lead our data ingestion, preparation, processing, and delivery efforts using MS Azure services. As a key member of our Supply Chain Analytics team, you will be responsible for designing, optimizing, and maintaining large-scale data pipelines (ETL/ELT) to enable business intelligence and statistical modeling.

Your responsibilities will include ensuring data quality and integrity through continuous monitoring and validation, setting up and managing data storage solutions (e.g., SQL databases, data lakes), and overseeing production workflows that connect critical components of the data infrastructure.

You will write and maintain secure, scalable, efficient, and reliable code to transform business requirements into functional solutions, promote best engineering practices, including automation, CI/CD processes, and code maintainability.

As a Data Engineer, you will drive standardization and automation efforts by adhering to common development guidelines and industry best practices.

Collaboration with BI analysts, data scientists, machine learning engineers, and core IT teams in cross-functional projects is essential to deliver data-driven solutions.

Required Skills and Qualifications

  • Strong proficiency in Python, SQL, MDX, and Bash scripting.
  • 2+ years of hands-on experience with Azure data tools (e.g., Data Factory, Synapse, Data Lake, Blob Storage, SharePoint, Databricks).
  • Practical experience with data workflow orchestration tools (ADF, Databricks Jobs, or Airflow).
  • Solid understanding of version control systems and CI/CD pipelines using Azure DevOps or similar tools.
  • Experience working with Snowflake in an Azure cloud environment.
  • Familiarity with data governance concepts (e.g., data cataloging, metadata management, data lineage, master data, security, and compliance).
  • Professional-level English proficiency.

Benefits

We offer a comprehensive benefits package, including health insurance, retirement savings plan, paid time off, and professional development opportunities.

Location

The position is based in [location], with regular remote work options available.



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