Data Engineering Lead – Fintech

January 27, 2026

Job Overview

  • Date Posted
    January 27, 2026
  • Location
  • Expiration date
    April 27, 2026

Job Description

Job Description

We are hiring a Data Engineering Lead to design, implement, and manage data pipelines supporting fintech analytics and AI solutions. This role requires technical expertise, leadership skills, and experience with large-scale financial datasets.

Key Responsibilities

  • Lead the design and deployment of scalable data pipelines.
  • Collaborate with data scientists and product teams.
  • Ensure data security, quality, and compliance with regulations.
  • Optimize data storage, processing, and analytics workflows.
  • Mentor junior data engineers and build a high-performing team.
  • Research new technologies to enhance data architecture.
  • Monitor KPIs and improve data infrastructure performance.

Qualifications Needed

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
  • 5–8 years of experience in data engineering, preferably in fintech.
  • Proficiency in SQL, Python, Spark, or Hadoop.
  • Strong knowledge of cloud platforms and data warehousing.
  • Excellent leadership and communication skills.

What the Company Offers

  • Competitive salary and technical bonuses.
  • Opportunities to lead large-scale fintech data initiatives.
  • Access to cutting-edge analytics and AI tools.
  • Flexible and collaborative working culture.
  • Career growth into senior data leadership roles.

Are you interested in this position? Apply by clicking on the “Apply Now” button below!
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