Data Engineering Lead – Fintech

Job Description

Data Engineering Lead – Fintech

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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