Senior Data Engineer (all genders)

What you’ll need

• 7+ years of experience in data engineering, ideally with some hands-on exposure to analytics engineering practices (e.g., data modeling, transformation logic)
• Deep understanding of data pipeline orchestration, distributed processing, and building resilient, testable ETL/ELT systems

• Expertise in Scala or Python with strong SQL skills and experience using Spark in production environments
• Experience with cloud-native architectures, especially Azure Cloud Platform and Databricks
• Familiarity with streaming data frameworks (Kafka, Event Hubs, or similar)
• Solid grasp of data modeling concepts, especially in the context of analytics and reporting (conceptual/logical/physical models)

What you’ll bring

• Excellent communication skills with the ability to explain complex technical concepts to stakeholders
• Strong collaboration mindset to work effectively with cross-functional teams including data science, engineering, and business units
• High attention to detail with a strong focus on data quality, accuracy, and reliability
• Self-starter with strong organizational skills