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Senior/Lead Data Engineer

qode.world🌍 Remote WorldwideEstimated: $80,000 - $120,000

✨ AI Insights & Summary

This role offers a fantastic opportunity for a Data Engineer to join a digital banking industry client, focusing on building and optimizing robust data pipelines on AWS using Databricks. You'll be instrumental in migrating data from legacy systems, ensuring data quality through dashboards and monitoring tools, and implementing best practices in data security and governance. If you possess strong PySpark, SQL, and AWS S3 expertise, thrive in a DevOps environment, and are eager to contribute to a modern data infrastructure with a focus on automation and optimization, this hybrid position provides excellent benefits and growth potential.

About the Role

This position is being hired on behalf of our client in the digital banking industry.

Your Responsibilities:

  • Design, develop, test, deploy, and monitor data pipelines in Databricks on AWS, integrating diverse data sources.
  • Design, develop, test, deploy, and monitor scalable code using PySpark and SQL within Databricks.
  • Identify and implement process improvements through code optimization and automation.
  • Build data quality dashboards, lineage flows, and monitoring tools to ensure active oversight and actionable insights into data quality and governance.
  • Assist in migrating data from legacy systems to newly developed solutions.
  • Adhere to and champion best practices for data security, retention, and privacy policies.

Requirements:

  • Bachelor’s degree.
  • 6+ years of experience, with at least 3 years focused on building ETL/ELT pipelines.
  • Proven competency in solution design, development, implementation, reporting, and analysis.
  • Proficiency in Apache Spark, Python, and SQL.
  • Proficiency working with data formats including Text, Delta, Parquet, JSON, CSV, and XML.
  • Working knowledge of Spark Structured Streaming.
  • AWS infrastructure experience, particularly with S3.
  • Solid understanding of Git-based version control, DevOps, and CI/CD practices. Experience with the Atlassian stack is a plus.
  • Knowledge of common web API frameworks and web services.
  • Strong teamwork, relationship management, and client management skills, with the ability to influence peers and senior management.
  • Willingness to embrace modern technology, best practices, and work methodologies.

Benefits:

  • Performance-based bonus and equity participation.
  • 13th-month salary (pro-rata).
  • Generous leave: 15 days annual leave + 3 days sick leave + 1 birthday leave + 1 Christmas leave.
  • Meal and parking allowance.
  • Full benefits and salary rank during probation.
  • Insurances as per Vietnamese labor law and premium health care for you and your family.
  • Opportunities for overseas travel for training and work.
  • Hybrid work mode, 40-hour work week (Monday to Friday), promoting work-life balance.

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Job Overview

Posted6/8/2026
CategoryData Engineering
SourceJobsCollider

FAQ

Is this position remote?

The Senior/Lead Data Engineer role is a hybrid opportunity. The location specified is Remote Worldwide.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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