Azure Databricks Platform Engineer

Mercedes-Benz • Automotive Manufacturing • Exhibitions • Python • SQL • Power BI • ETL/ELT • 4 days ago
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Salary
≈ $20k – $41k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 16, 2026. Mercedes-Benz scores A on the Alion truth index.

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Mercedes-Benz

Mercedes-Benz Group is a German carmaker whose lineage runs back to Karl Benz's patent motor car of 1886 and the 1926 merger of Daimler and Benz that created the modern company. It builds premium and luxury passenger cars and vans under the Mercedes-Benz, AMG, Maybach and G-Class brands, positioning itself deliberately at the high end of the market after separating its truck business into a standalone listed company in 2021. The group is rebuilding its vehicles around the MB.OS operating system and its own electric architectures, and it runs one of the most successful teams in Formula One as a technology showcase.
mercedes-benz.com • HQ: Stuttgart, Germany • Exhibitions • Automotive Manufacturing • 1001-5000 employees • Est. 1926
Tech stack of Mercedes-Benz

Aufgaben

Role: Azure Databricks Platform Engineer

Role Description

Support the Platform Team in designing, implementing, and scaling Azure and Databricks-based data and platform solutions. The role combines hands-on engineering with platform ownership, automation, team collaboration, and continuous improvement.

Key Responsibilities

Design, build, and maintain scalable Azure services and Azure Databricks solutions.

Develop and optimize ETL/ELT pipelines using Python, PySpark, and SQL.

Support GitHub, CI/CD, IAM, security, monitoring, and platform configurations.

Drive platform automation, standardization, reusability, and optimization.

Explore AI, LLMs, and emerging technologies to build and scale solutions and present relevant ideas to the team.

Collaborate with cross-functional teams and guide team members on technical topics.

Qualifikationen

Required Skills

5+ years of experience in Data Engineering, Platform Engineering, or a similar role.

Strong hands-on experience with Azure Services and Azure Databricks.

Experience in solution/component design and development, including participation in or leading technical design reviews.

Strong proficiency in Python, PySpark, and SQL.

Strong understanding of ETL/ELT, data pipelines, data modeling, and data architecture.

Good knowledge of Git, GitHub, CI/CD, and automated deployment practices.

Experience with Python package management and release processes, including building and deploying Wheel packages.

Hands-on experience with Pytest and automated unit, integration, and regression testing.

Experience with IAM, cloud security, Key Vault, Storage, and monitoring.

Understanding of Data Governance, Data Quality, and Databricks Unity Catalog.

Knowledge of AI and LLMs and their application in building and scaling solutions.

Strong problem-solving, communication, collaboration, stakeholder management, and team coordination skills.

Good to Have

  • Experience with Azure Web Apps / App Services.
  • Knowledge of Infrastructure as Code (IaC) and Declarative Asset Bundles.
  • Exposure to streaming technologies, MLOps, and Power BI/Fabric.
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