Data Engineer

WHO WE ARE

Sapaad

Driven by a passionate team of developers, designers, and product experts, Sapaad is constantly evolvingintroducing innovative, industry-defining features that set the benchmark for F&B tech. Headquartered in Singapore, with offices across five countries, Sapaad is backed by seasoned technology veterans with deep expertise in web, mobility, and e-commerce.

JOB OVERVIEW

Data Engineer

As part of our growing data team, youll collaborate closely with developers, architects, analysts, and data scientists to ensure smooth, secure, and efficient data delivery across multiple products and projects. If youre excited by the idea of transforming raw data into actionable insights, and thrive in a fast-paced, innovation-driven environment, this is the role for you.

WHY JOIN SAPAAD

explore, apply, and grow your skills

work on high-impact projects

Collaborate with global teams

redefining the future of F&B tech

learning from seasoned leaders and industry veterans

WHAT YOU&aposLL DO

• Design, build, and maintain

  scalable data pipelines

  and infrastructure.
• Assemble and manage

  large, complex datasets

  from diverse sources.
• Automate and optimize data processes for greater efficiency and scalability.
• Develop and manage

  ETL workflows

  using SQL and cloud-based big data tools.
• Build analytics tools to deliver actionable insights into business performance.
• Collaborate with executives, product managers, architects, and analysts to meet evolving data needs.
• Ensure data systems are

  secure, reliable, and high-performing

  .
• Support data scientists and analysts by creating data tools and environments for advanced analytics.

YOU&aposRE A STRONG FIT IF YOU HAVE

• 27 years of hands-on experience as a Data Engineer.
• A graduate degree in Computer Science, IT, Statistics, or a related quantitative field.
• Advanced knowledge of

  SQL

  and relational databases, with exposure to multiple database technologies.
• Proven experience building and optimizing

  big data pipelines, architectures, and data sets

  .
• Strong analytical skills, especially in handling unstructured datasets.
• Working knowledge of

  cloud-based big data services

  (AWS, Azure, or GCP).
• Familiarity with big data tools such as

  Hadoop, Spark, Kafka

  , etc.
• Experience with ETL tools like

  Informatica, DataStage, or Azure Data Factory

  .
• Knowledge of

  stream-processing systems

  like Storm or Spark Streaming.
• Proficiency in scripting/programming languages such as

  Python, Java, or Scala

  .
• Excellent communication skills and the ability to thrive in cross-functional teams.