Senior Data Engineer, Analytics

2 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Ryt Bank Full time 80,000 - 120,000 per year

About the Role: 

Ryt Bank is seeking a highly motivated and enthusiastic 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. You will work closely with experienced professionals, contribute to real-world projects, and develop essential skills for a successful career in the data engineering team.

Our engineering team thrives on collaboration, innovation, and a shared commitment to excellence. You will also have the opportunity to implement robust data, mentor junior engineers, and contribute to a culture of continuous learning and technical excellence.

If you're a passionate analytics engineer eager to make a difference, join us as we shape the future of technology together.

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.

Qualifications: 

  • 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 is a bonus
  • Familiarity with AI/ML and their applications in analytics is a bonus
  • Ability to think strategically about banking products / operations and how our underlying data models will unlock more insights and value for our customers is a bonus

Technology Stack We Use:

  • Language: SQL, Python
  • Orchestration: Airflow
  • Transformation: dbt
  • Warehousing: Greenplum
  • Deployment: Docker, Kubernetes

Impact & Growth Opportunities:

  • 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
JR

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