Data Engineer

Posted 3 Days Ago
Be an Early Applicant
Hiring Remotely in Malaysia
Remote
Entry level
Social Impact
The Role
Design, build, and operate the organization’s data platform, including data models, batch and streaming pipelines, orchestration, warehouses, cloud infrastructure, and governance controls. Ensure reliable, observable, high-quality data through contracts, monitoring, privacy protections, and anonymization. Collaborate with analytics, research, product, and engineering teams to translate requirements into scalable data solutions.
Summary Generated by Built In

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.

Skills Required

  • Advanced SQL, including performance tuning and complex analytical query design
  • Advanced Python for pipeline development, tooling, and automation
  • Hands-on experience with a cloud platform such as AWS, Azure, GCP, or AliCloud
  • Expert knowledge of a modern data warehouse such as Snowflake, BigQuery, Databricks, or Redshift
  • Experience developing and orchestrating ETL, ELT, CDC, and stream-processing pipelines
  • Data modeling and tooling expertise, including dbt
  • Experience with Airflow, Dagster, Prefect, or similar orchestration tools
  • Working knowledge of Terraform, Helm, Kubernetes, or equivalent infrastructure tooling
  • Experience defining and enforcing data contracts or schema standards
  • Exposure to privacy and anonymization implementations
  • Background in a SaaS, startup, or product-led environment
  • Familiarity with data observability and lineage tools such as Sentry or Datadog
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
87 Employees
Year Founded: 2016

What We Do

Yaqeen Institute for Islamic Research is a nonprofit research and educational organization. Through research, educational resources, and volunteer and ambassador engagement, it helps Muslims find answers to critical questions, discover meaning and confidence in their faith, and reclaim the Islamic narrative from challenges. Its work is designed to strengthen understanding, conviction, and resilience among Muslim communities worldwide.

Similar Jobs

Remote
Malaysia
87 Employees

Micron Technology Logo Micron Technology

Information Technology Engineer

Artificial Intelligence • Hardware • Information Technology • Machine Learning
Remote
Batu Kawan, Selatan, Pulau Pinang, MYS
45000 Employees

AIA Group Limited Logo AIA Group Limited

Platform Engineer

Insurance • Financial Services
In-Office or Remote
2 Locations
25938 Employees
In-Office or Remote
2 Locations
243049 Employees

Similar Companies Hiring

Camber Thumbnail
Fintech • Healthtech • Social Impact
New York, New York
90 Employees
Sailor Health Thumbnail
Healthtech • Social Impact • Telehealth
New York City, NY
20 Employees
Playground (tryplayground.com) Thumbnail
Kids + Family • Payments • Social Impact • Software
New York City, New York
80 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account