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Data Engineer

Pro5.ai
4 months ago
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Data Engineer

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Data Engineer (we have office locations in Cambridge, Leeds & London)

Data Engineer - Snowflake, dbt, AWS, Python - Remote

*Do take note that this is an on-site role based inKuala Lumpur, Malaysia.

*Candidates can be from anywhere in Europe ideally or any part of the world, as long as they are willing torelocateto KL, Malaysia.


Job Title:Data Engineer

Location:Kuala Lumpur, Malaysia

Type:Full-time

Are you passionate about working with cutting-edge technologies and driving innovation in the financial industry? If so, we want you to join our team as aData Engineerin Kuala Lumpur!

Our fast-paced, multicultural team thrives on innovation and is on a mission to disrupt the traditional finance industry. As a key player in our organization, you’ll work on exciting projects to build and scale world-class data ecosystems that will empower internal users and analysts to create products and experiences that captivate our customers.

Key Responsibilities:

  • Collaborate with business and technical teams to interpret requirements and develop data delivery solutions.
  • Design and implement scalable data architecture, data access policies, and data distribution solutions.
  • Contribute to the development and optimization of ETL processes, troubleshooting data issues, performing integrity checks, and ensuring smooth data flow.
  • Analyze large, complex datasets to solve real-world business challenges while working on data cleanup and improving data quality.
  • Provide training and guidance to employees on data systems and visualization tools.
  • Collaborate with engineers, data scientists, and product managers to build efficient, scalable data pipelines, and support machine learning model deployment at scale.

About You:

  • You have a strong understanding of financial and banking products.
  • You have experience in building and shipping large-scale engineering products and infrastructure.
  • You are familiar with scalable data architecture, fault-tolerant ETL processes, and monitoring data quality in the cloud (preferably AWS).
  • You have expertise in NoSQL and relational databases (MongoDB, MySQL, PostgreSQL, ElasticSearch) and are comfortable working with data processing frameworks such as Spark and Kafka.
  • You have experience with data science techniques and frameworks, and you’re skilled in using technologies like Java, Python, and Apache Airflow.
  • You enjoy collaborating with diverse teams of engineers, data scientists, and product managers to solve complex problems.

Why Join Us?

  • Be part of a visionary team revolutionizing the financial industry.
  • Work in a fast-paced and dynamic environment with opportunities to grow and learn.
  • Contribute to cutting-edge projects that impact millions of users.
  • Collaborative culture where innovation is encouraged, and career development is supported.
National AI Awards 2025

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