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Senior Analytics Engineer

Ryt BankKuala Lumpur, Kuala Lumpur, Malaysia

1 day ago

Job description

About Us

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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Finance, and Information Technology

Industries

Banking, IT System Data Services, and Software Development

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Senior Engineer • Kuala Lumpur, Kuala Lumpur, Malaysia

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