Senior Data Engineer with Python

We are seeking an experienced and driven Senior Data Engineer to join our expanding Data Engineering team.
This position involves working as part of one of our established Platform Teams, where you will design, develop, and scale data pipelines in Databricks with PySpark on Microsoft Azure, empowering our AI Factory teams to create and deploy advanced machine learning solutions.
This role offers the chance to contribute at the nexus of big data, cloud engineering, and MLOps, delivering reliable, scalable, and high-performance data platforms that support innovation across the organization.
Responsibilities
Design cloud-native analytical solutions using Big Data and NoSQL technologies
Build scalable data pipelines in Databricks with PySpark on Azure
Collaborate with MLOps and ML Engineering teams to deliver data platforms for AI development and deployment
Support requirements gathering and deliver aligned solutions with architects, technical leads, and cross-functional teams
Assist the SAP Platform Team in utilizing SAP BTP and hyperscaler offerings for enterprise-grade data solutions
Conduct code reviews to ensure technical standards and practices are maintained
Provide mentorship to junior engineers to cultivate a high-performance culture
Incorporate CI/CD methodologies into data engineering workflows using tools like Jenkins or GitLab CI/CD
Engage with stakeholders to understand processes, model input data, and ensure deliverable alignment
Requirements
4+ years of experience in Software Engineering with a focus on Data Engineering, Machine Learning, or MLOps
Proficiency in Python and PySpark
Background in Databricks and Microsoft Azure cloud services
Knowledge of software version control tools, including GitHub or Git
Capability to work with CI/CD frameworks such as Jenkins, Concourse, or GitLab CI/CD
Expertise in building scalable, robust, and available data solutions
Competency in problem-solving and analytical skills, along with effective stakeholder engagement
Nice to have
Skills in an additional programming language like Java, SQL, or Scala
Understanding of SAP BTP or similar enterprise data platforms
Familiarity with agile development environments