Senior Data Engineer

We are seeking an experienced and driven Senior Data Engineer to join our expanding Data Engineering team.

In this role you will be a key member of one of our established Platform Teams designing developing and scaling data pipelines in Databricks with PySpark on Microsoft Azure for the AI Factory team. This is an exciting opportunity to work at the intersection of big data and cloud engineering delivering reliable scalable and high-performance data platforms that drive innovation across our organization.

• Design cloud-native analytical solutions using Big Data and NoSQL technologies
• Build and optimize scalable data pipelines in Databricks with PySpark on Azure
• Develop and maintain data lakes and data warehouses to ensure reliability and performance
• Design and implement ETL/ELT workflows to collect clean and structure data
• Implement data quality lineage and monitoring frameworks
• Collaborate with ML and analytics teams to deliver clean production-ready datasets
• Conduct code reviews to uphold technical standards and best practices
• Mentor junior engineers and foster a high-performance collaborative culture
• Integrate CI/CD methodologies into data engineering workflows using tools such as Jenkins or GitLab CI/CD
• Support requirements gathering and deliver solutions in alignment with architects technical leads and cross-functional teams
• Engage with stakeholders to understand business processes model input data and ensure deliverables meet requirements

• 4 years of experience in Data Engineering or a related field
• Proficiency in Python and PySpark
• Hands-on experience with Databricks and Microsoft Azure cloud services
• Familiarity with software version control tools (e.g. GitHub Git)
• Experience with CI/CD frameworks such as Jenkins Concourse or GitLab CI/CD
• Proven ability to build scalable robust and highly available data solutions
• Strong problem-solving analytical and stakeholder engagement skills

• Experience with additional programming languages such as Java SQL or Scala
• Knowledge of SAP BTP or similar enterprise data platforms
• Familiarity with agile development methodologies