Das ist der Job
The Data Engineer V leads the design, development, and optimization of scalable data pipelines and analytics platforms.
Darum lohnt es sich
This role partners closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions that drive business insights.
Responsibilities Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Spark Design and maintain processes to integrate and transform source data into curated, analytics-ready data layers Collaborate with product, analytics, and engineering teams to translate business needs into data solutions Maintain data documentation including data dictionaries and lineage Work with SQL Server, including querying and managing data Leverage AI-enabled tools and analytics to enhance decision-making, improve efficiency, and drive measurable business outcomes when appropriate.
Apply sound judgment and ethical standards when using AI, ensuring accuracy, data privacy, and responsible human-in-the-loop oversight.
Other duties as assigned Required Qualifications Proficient programming / scripting in Python, SQL Proficiency in cloud data platforms (Azure preferred) Experience building data pipelines that ingest, transform, and load source data into curated data models Experience with data pipeline orchestration and workflow tools Strong wor
