Data Engineer
TypeFull-time job
LocationMalaysia
Posted2 hours ago
About Yaqeen Institute
Yaqeen is a nonprofit on a mission to pioneer Islamic research in creative, cutting-edge formats tailored to meet people where they are. We work to dismantle doubts through well-researched truths, nurture conviction by strengthening belief with practical, spiritual guidance, and inspire contribution by reviving our tradition of faithful changemakers, insha’Allah. We’re seeking like-minded professionals who embody Islamic values including sincerity, excellence, and compassion, and want to make a difference in the faith of people worldwide.
Role Overview
We are seeking a seasoned Data Engineer to join our Engineering team. You will design, build, and operate the data platform that powers analytics, research, and product decisions across the organization. This is a hands-on role for someone who is equally comfortable modeling complex datasets, engineering resilient pipelines, and managing the underlying cloud infrastructure. You will own systems from ingestion and transformation through to the warehouse layer, and you will set the standards that keep our data trustworthy. Beyond building, you will partner closely with analytics, product, and platform teams to define how data moves through the organization and to raise the bar for reliability, quality, and governance.
Key Responsibilities
Data Modelling & Transformation
Model and structure data for analytical and operational use, owning the transformation layer and its tooling, including dbt
Design data models that are clear, well documented, and easy for downstream teams to build on
Define and enforce data contracts and schema standards in collaboration with upstream and downstream engineering teams
Pipelines & Orchestration
Design and build scalable batch and streaming data pipelines across ETL, ELT, and change data capture patterns
Orchestrate and schedule workflows using tools such as Airflow, Dagster, or Prefect
Ensure pipelines are observable, recoverable, and well instrumented, with monitoring and data quality checks that catch issues before they reach consumers
Data Warehousing & Infrastructure
Architect and optimize our modern data warehouse, including storage layer design, table formats, and compute and query engine integration
Provision and maintain cloud infrastructure using infrastructure as code, and manage deployment and container orchestration
Implement privacy, anonymization, and governance controls to keep sensitive data protected and compliant
Collaboration & Communication
Participate in planning and requirements discussions to raise data quality and modeling concerns before development starts
Translate requirements from analysts, researchers, and product engineers into robust data models and reliable delivery
Keep engineering and the wider organization connected through transparent, timely communication
Qualifications
Advanced SQL, including performance tuning and complex analytical query design
Advanced Python for pipeline development, tooling, and automation
Familiarity and hands-on experience with AWS, Azure, GCP, AliCloud, or an equivalent
Data warehousing: expert knowledge of one modern platform (Snowflake, BigQuery, Databricks, or Redshift), including architecture, storage layer design, table formats, and compute and query engine integration
Experience developing and orchestrating data pipelines across ETL, ELT, CDC, and stream processing
Data modeling and tooling expertise, including dbt
Experience with modern orchestration tools like Airflow, Dagster, or Prefect
Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes or equivalent
Experience defining and enforcing data contracts or schema standards in collaborative engineering environments
Exposure to privacy and anonymization implementations
Background in a SaaS, startup, or product-led environment is a plus
Familiarity with data observability and lineage tooling such as Sentry or Datadog is a plus
Assignment
Technical assessment assigned after candidate screening.
Yaqeen Institute embraces a philosophy that values and promotes diversity. Our goal is to attract, develop, retain, and advance a talented and diverse workforce within a culture where all employees are empowered to reach their fullest potential.
Please note that all career opportunities at Yaqeen Institute are subject to a three-month probationary period, during which we assess performance, alignment with our values, and mutual fit to ensure long-term success in the role.
Originally posted on Himalayas
Yaqeen is a nonprofit on a mission to pioneer Islamic research in creative, cutting-edge formats tailored to meet people where they are. We work to dismantle doubts through well-researched truths, nurture conviction by strengthening belief with practical, spiritual guidance, and inspire contribution by reviving our tradition of faithful changemakers, insha’Allah. We’re seeking like-minded professionals who embody Islamic values including sincerity, excellence, and compassion, and want to make a difference in the faith of people worldwide.
Role Overview
We are seeking a seasoned Data Engineer to join our Engineering team. You will design, build, and operate the data platform that powers analytics, research, and product decisions across the organization. This is a hands-on role for someone who is equally comfortable modeling complex datasets, engineering resilient pipelines, and managing the underlying cloud infrastructure. You will own systems from ingestion and transformation through to the warehouse layer, and you will set the standards that keep our data trustworthy. Beyond building, you will partner closely with analytics, product, and platform teams to define how data moves through the organization and to raise the bar for reliability, quality, and governance.
Key Responsibilities
Data Modelling & Transformation
Model and structure data for analytical and operational use, owning the transformation layer and its tooling, including dbt
Design data models that are clear, well documented, and easy for downstream teams to build on
Define and enforce data contracts and schema standards in collaboration with upstream and downstream engineering teams
Pipelines & Orchestration
Design and build scalable batch and streaming data pipelines across ETL, ELT, and change data capture patterns
Orchestrate and schedule workflows using tools such as Airflow, Dagster, or Prefect
Ensure pipelines are observable, recoverable, and well instrumented, with monitoring and data quality checks that catch issues before they reach consumers
Data Warehousing & Infrastructure
Architect and optimize our modern data warehouse, including storage layer design, table formats, and compute and query engine integration
Provision and maintain cloud infrastructure using infrastructure as code, and manage deployment and container orchestration
Implement privacy, anonymization, and governance controls to keep sensitive data protected and compliant
Collaboration & Communication
Participate in planning and requirements discussions to raise data quality and modeling concerns before development starts
Translate requirements from analysts, researchers, and product engineers into robust data models and reliable delivery
Keep engineering and the wider organization connected through transparent, timely communication
Qualifications
Advanced SQL, including performance tuning and complex analytical query design
Advanced Python for pipeline development, tooling, and automation
Familiarity and hands-on experience with AWS, Azure, GCP, AliCloud, or an equivalent
Data warehousing: expert knowledge of one modern platform (Snowflake, BigQuery, Databricks, or Redshift), including architecture, storage layer design, table formats, and compute and query engine integration
Experience developing and orchestrating data pipelines across ETL, ELT, CDC, and stream processing
Data modeling and tooling expertise, including dbt
Experience with modern orchestration tools like Airflow, Dagster, or Prefect
Working knowledge of cloud infrastructure tooling, including Terraform, Helm, and Kubernetes or equivalent
Experience defining and enforcing data contracts or schema standards in collaborative engineering environments
Exposure to privacy and anonymization implementations
Background in a SaaS, startup, or product-led environment is a plus
Familiarity with data observability and lineage tooling such as Sentry or Datadog is a plus
Assignment
Technical assessment assigned after candidate screening.
Yaqeen Institute embraces a philosophy that values and promotes diversity. Our goal is to attract, develop, retain, and advance a talented and diverse workforce within a culture where all employees are empowered to reach their fullest potential.
Please note that all career opportunities at Yaqeen Institute are subject to a three-month probationary period, during which we assess performance, alignment with our values, and mutual fit to ensure long-term success in the role.
Originally posted on Himalayas
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