Point your AI agent at freehire and let it find you a job.

Get the CLI →

OnPoint Insights

NewBe an early applicant

Data Engineer + DevOps – Azure

Posted 1 view
Discussion

Summary

A data engineer with ~2 years of experience who designs, builds, and optimizes ETL/ELT pipelines on Azure (Data Factory, Azure SQL, Synapse) and maintains CI/CD pipelines in Azure DevOps, supporting reliable deployments and data quality for BI/reporting. Python, PySpark, and Spark SQL are core to the role.

Data Engineer + DevOps – Azure

Role Overview

We're looking for a Data Engineer with ~2 years of experience building and maintaining data pipelines on Azure, along with working knowledge of CI/CD practices to support automated, reliable deployments.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and/or SQL-based tools
  • Work with SQL Server / Azure SQL for ingestion, transformation, and storage across staging/curated/reporting layers
  • Optimize pipelines and queries for performance and cost efficiency
  • Collaborate with BI/analytics teams to deliver clean, reliable datasets for reporting
  • Implement and maintain CI/CD pipelines using Azure DevOps
  • Write clean, modular, well-documented code following Git-based version control practices
  • Monitor pipeline health, troubleshoot failures, and ensure data quality
  • Explore opportunities to apply AI/GenAI tools for pipeline automation, data quality checks, or documentation
  • Participate in code reviews and contribute to engineering best practices

Required Skills & Qualifications

  • ~2 years of experience as a Data Engineer
  • Strong hands-on experience with Azure data services (ADF, Synapse, Azure SQL, or similar)
  • Proficiency in SQL and solid understanding of relational database concepts
  • Working knowledge of CI/CD concepts and tools — Azure DevOps required; GitHub Actions, Jenkins, or GitLab CI experience a plus
  • Hands-on experience developing and maintaining CI/CD pipelines for development environments using Azure DevOps (ADO)
  • Experience with Git-based version control and branching workflows
  • Ability to write clean, modular, well-documented pipeline code
  • Python for scripting
  • Proficiency in PySpark and Spark SQL

Good to Have

  • Exposure to Databricks (PySpark / Spark SQL), Delta Lake concepts
  • Familiarity with AI-assisted development tools (GitHub Copilot, Azure OpenAI, Claude Code or similar)
  • Basic exposure to GenAI/LLM-based data workflows
  • Basic understanding of data warehousing / dimensional modeling
  • Bash/PowerShell scripting/testing
  • Familiarity with Power BI or other BI tools
  • Azure certifications (DP-700 Fabric Data Engineer Associate, AZ-900, etc.)

Why OnPoint Insights?

OnPoint Insights is a US-based technology and consulting company focused on delivering innovative data, cloud, and AI-driven solutions. Join our team to work on real-world projects, collaborate with experienced professionals, gain exposure to modern technologies, and build a strong career in a growing technology environment.

Skills

See also

Data Engineering jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available