Senior Data Engineer, Analytics

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

We are Ryt Bank, proudly awarded as one of the five digital banking license winners by BNM in Malaysia. Our mission is to empower the underserved and unserved segments of the population by providing innovative and accessible banking solutions. As a member of our team, you will play a key role in shaping the future of digital banking, using AI to enhance the banking experience for Malaysians. Our team is made up of experienced digital banking and fintech innovators, excited to bring our expertise to Ryt Bank, as we continue to drive impactful innovation.

About the Role:

We are seeking a Senior Data Engineer, Analytics to bridge the gap between data engineering and analytics, focusing on building and maintaining scalable data models while enabling stakeholders to make data-driven decisions. You will be operating with a high level of autonomy, collaborating directly with product, business partners, and peer engineering teams to align on requirements and execute effectively in a fast-paced environment.

Key Responsibilities:

• Design, implement and maintain robust data models to support analytics, dashboards, and self-serve tools
• Architect and develop high quality data assets for business, analytics and regulatory reporting use cases
• Collaborate with stakeholders to understand business requirements and translate them to technical solutions
• Establish data modelling best practices, tooling, documentation and testing methodologies - ensuring models are highly maintainable and scales with complexity
• Lead technical design discussions and contribute to data architecture decisions - spotting opportunities to reduce complexity and cost
• Lead, guide and mentor team members on best practices - You will review the designs and work of engineers on the team and set a high bar for quality.

What we're seeking:

• Strong passion for data modelling - SQL and data modelling are second nature to you
• Proven experience with dbt and modern data warehouse platforms (Snowflake, Redshift) - you are comfortable with general warehousing concepts
• Strong understanding of software engineering best practices and data engineering principles
• Experience implementing data quality monitoring and testing frameworks
• Ability to tackle complex problems from both technical and business perspectives
• Excellence in stakeholder communication and leading technical initiatives in a fast-paced environment
• Background in implementing metrics frameworks and data governance (bonus)
• Familiarity with AI/ML and their applications in analytics (bonus)
• Ability to think strategically about banking products / operations and how our underlying data models will unlock more insights and value for our customers (bonus)
• Language: SQL, Python
• Orchestration: Airflow
• Transformation: dbt
• Warehousing: Greenplum
• Lead critical data modelling initiatives that power company-wide analytics
• Shape data engineering practices and tooling decisions
• Mentor and grow other team members' technical capabilities
• Drive adoption of modern data solutions
• Influence data architecture and governance strategies