Senior Data Engineer

About the role

Working with Us At Iris, every role is more than a job — it’s a launchpad for growth. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

What you'll do

• Design scalable data engineering solutions using PySpark and modern distributed data processing frameworks
• Define data ingestion, transformation, and processing architectures aligned with business and analytical objectives
• Design and optimize Snowflake or Delta Lake on Databricks solutions to support enterprise-scale data platforms
• Lead implementation of high-performance batch and streaming data pipelines
• Design and optimize event-driven data architectures using Apache Kafka or Amazon Kinesis

What you need

• 7–8 years in data science & ai
• SQL
• Spark
• Airflow
• Databricks
• ETL
• Snowflake
• Any graduate

Good to have

• Python
• CI/CD
• Kafka
• Root cause analysis
• Reconciliation