At Wira, data is at the heart of how we build smarter products and make better business decisions.

We're looking for a Data Engineer to design and scale data infrastructure capable of processing large volumes of transactional and operational data reliably and efficiently.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop batch and real-time data processing solutions.
• Build and optimize data models for analytics and intelligent applications.
• Implement reliable data ingestion, transformation, and orchestration workflows.
• Improve data quality, consistency, availability, and observability.
• Optimize pipeline performance and processing costs.
• Collaborate with engineering, analytics, and product teams to make data accessible and actionable.
• Support data infrastructure requirements for AI-powered products.

Requirements

• Strong proficiency in SQL and Apache Flink.
• Experience designing and maintaining ETL/ELT pipelines.
• Hands-on experience with streaming and distributed data processing.
• Familiarity with Kafka, Airflow, dbt, or similar tools.
• Experience with analytical databases, data warehouses, or lakehouse architectures.
• Solid understanding of data modeling and data quality.
• Experience monitoring, troubleshooting, and optimizing data pipelines.
• Familiarity with Python or Java for data engineering workflows.

Nice to Have

• Experience with real-time analytics.
• Experience supporting AI/ML data pipelines.
• Familiarity with high-volume transactional datasets.
• Experience with cloud-native data platforms.

What We Value

Strong engineering fundamentals, analytical thinking, attention to data reliability, ownership, and the ability to build scalable systems.