Senior Data Engineer

About This Role

This role involves shaping the future of data engineering by building scalable, cloud-native data solutions for modern analytics and decision-making. The Senior Data Engineer will focus on integrating and optimizing CRM data to support sales, loyalty, and marketing initiatives across the automotive business.

Responsibilities

• Design, develop, and optimize data pipelines and workflows using Databricks and Azure Data Services
• Implement best practices for data engineering, including CI/CD, automated testing, and infrastructure-as-code
• Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions
• Drive adoption of modern DevOps practices within the data engineering lifecycle
• Ensure data quality, governance, and compliance across all solutions

Requirements

• 7+ Years Data Engineering Experience
• Proven experience working with Databricks and Azure (Data Factory, Data Lake, Synapse, etc.)
• Strong proficiency in Python, SQL, Apache Spark, and distributed data processing frameworks
• Hands-on experience with CI/CD pipelines, Git, and DevOps tools for data engineering
• Solid understanding of cloud architecture, data security, and performance optimization
• Ability to work in an agile environment and deliver solutions at scale

Qualifications

• 7+ Years Data Engineering Experience

Nice to Have

• Familiarity with infrastructure automation (Terraform, ARM templates)
• Salesforce CRM, CRM-A, Data Cloud experience
• Knowledge of data governance frameworks and compliance standards
• Implemented visualizations with Power-BI or Tableau

Skills

* Required skills

Benefits