freehire launches on Product Hunt on 26 August.

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Data Engineer

Summary

Build and maintain scalable data pipelines and platforms using PySpark, Databricks, and Azure services to support analytics and AI initiatives.

Come join us

In the Data Engineer role, you’ll expand your expertise by contributing to modern initiatives across a variety of industries and business domains. You’ll work with a broad toolset, with responsibilities including:

What you’ll do

  • Creating, developing, and operating scalable, efficient, and dependable data pipelines
  • Delivering end-to-end data platforms, including data architecture and ETL implementations
  • Partnering with data scientists, analysts, and engineering teams to integrate data and improve end-to-end performance
  • Applying best practices for data governance, quality, and security across the data estate
  • Tuning and streamlining data workflows to maximize reliability and throughput
  • Keeping current with new trends and advancements in data engineering
  • Supporting and coaching junior data engineers through mentoring and knowledge sharing
  • Opportunity to grow your skills in advanced AI technologies
  • Tech stack

    You’ll use a range of tools depending on the project, however our core stack typically includes:

    Databricks, PySpark, Azure cloud and services (Data Lake, SQL Database, Azure Databricks, Azure Data Factory), SQL, Python, MS Fabric

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    See also