Senior Analytics Engineer

Job summary

The role involves building a reliable data foundation to support Manufacturing and Engineering teams in making informed decisions through data. The Senior Analytics Engineer will design and maintain dimensional data models, create scalable data products on Databricks, and deliver analytics solutions that add value across Operations.

Qualifications

• Proven experience delivering solutions using Python, PySpark, and SQL in production settings.
• Expertise in building dimensional data models for reporting and operational decision-making.
• Experience in creating, maintaining, and automating ETL pipelines on cloud platforms.
• Familiarity with DevOps and DataOps practices to enhance quality and automation.
• Proficient in cloud technologies such as Azure, AWS, or Google Cloud for data solutions.
• Ability to develop reliable data products for stakeholder access.

Responsibilities

• Design and maintain a robust data foundation for Manufacturing and Engineering.
• Create and manage data products to enhance access to high-quality data.
• Transform data into scalable solutions for informed business decisions.
• Support the development of automated data pipelines, APIs, and analytics capabilities.
• Contribute to data engineering standards and practices across the organization.
• Assist teams in understanding performance metrics and identifying improvement opportunities through data.

Skills

• Strong technical delivery combined with a solid understanding of data usage in decision-making.
• Collaborative mindset with the ability to communicate technical concepts clearly to stakeholders.

Education

• Relevant degree or equivalent experience in data engineering or analytics.

Tools

• Databricks, Python, PySpark, SQL, ETL tools, cloud platforms (Azure, AWS, Google Cloud), Power BI Dataflow.