Senior Data Engineer, Analytics & Data Modeling

Ryt Bank; Kuala Lumpur; On-site; MYR 180,000 - 300,000; Full time

Job summary

Ryt Bank is seeking a Senior Data Engineer, Analytics to bridge data engineering and analytics, building scalable data models and enabling data-driven decisions. You will work with product, business partners, and peer engineering teams in a fast-paced environment.

You will design robust data models, develop high-quality data assets for analytics and regulatory reporting, and mentor team members while shaping data architecture.

Qualifications

• Experience designing scalable data models and analytics solutions.
• Proficiency in SQL and data modelling concepts.
• Hands-on experience with dbt and modern data warehousing platforms (Snowflake, Redshift).
• Strong software engineering practices and data engineering principles.
• Experience implementing data quality monitoring and testing frameworks.

Responsibilities

• Design, implement and maintain robust data models for analytics and self-serve tools.
• Architect and develop data assets for business analytics and regulatory reporting.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Establish data modelling practices, tooling, docs and testing to ensure scalable models.
• Lead technical design discussions and influence data architecture decisions.
• Mentor engineers and uphold quality by reviewing designs and code.

Skills

SQL

Data modelling

Stakeholder communication

Leadership/mentorship

Airflow

dbt

Python

Analytics

Education

Bachelor’s degree or equivalent in a related field

Tools

Airflow

dbt

Snowflake

Redshift

Greenplum

Job description

Ryt Bank is seeking a Senior Data Engineer, Analytics to bridge data engineering and analytics, building scalable data models and enabling data-driven decisions. You will work with product, business partners, and peer engineering teams in a fast-paced environment.

You will design robust data models, develop high-quality data assets for analytics and regulatory reporting, and mentor team members while shaping data architecture.