Senior Data Engineer, Analytics

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

Job summary

Ryt Bank in Kuala Lumpur 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 autonomously with product, business partners and engineering teams to align on requirements in a fast-paced environment, leading data modelling initiatives and mentoring teammates.

The role emphasizes quality data assets, governance and collaboration across stakeholders.

Qualifications

• Strong SQL and data modelling skills.
• Experience with dbt and data warehouse platforms (Snowflake, Redshift).
• Solid understanding of data engineering principles and best practices.
• Experience with data quality monitoring and testing frameworks.
• Ability to translate business requirements into technical solutions.
• Excellent stakeholder communication and leadership in a fast-paced environment.

Responsibilities

• Design, implement and maintain robust data models to support analytics and dashboards.
• Architect data assets for analytics, regulatory reporting and self-serve tools.
• Collaborate with product, business partners and engineering teams on requirements.
• Set data modelling standards, tooling, documentation and testing methodologies.
• Lead design discussions and mentor engineers to ensure high quality work.
• Guide governance and metrics initiatives to drive value from data.

Skills

SQL

Python

Airflow

dbt

Greenplum

Snowflake

Redshift

Data modelling

Data governance

Data quality

Tools

dbt

Airflow

Greenplum

Snowflake

Redshift

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