Senior Data Engineer - H&L

Aspire Software is looking for a Senior Data Engineer to join our team in Lebanon.

Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.

About the Job:

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure that supports analytics, reporting, product development, and operational decision-making. You will work closely with Engineering, Product, Finance, Operations, and Growth teams to ensure reliable, accessible, and high-quality data across the organization.

This role is ideal for someone who thrives in a fast-paced environment, enjoys solving complex data challenges, and wants to have a direct impact on the growth of a rapidly scaling fintech company.

What You'll Do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data models, warehouses, and data lakes to support business and product analytics.
• Partner with cross-functional stakeholders to understand data needs and deliver actionable solutions.
• Ensure data quality, integrity, governance, and observability across all systems.
• Improve the performance, reliability, and scalability of our data platform.
• Support real-time and batch data processing requirements
• Develop and maintain documentation, standards, and best practices for data engineering.
• Collaborate with software engineers to integrate data solutions into customer-facing products and internal systems

Requirements

• 5–8 years of experience in Data Engineering, Analytics Engineering, or a related field.
• Strong academic background in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
• Experience designing and maintaining modern data architectures and large-scale data pipelines.
• Advanced SQL skills and strong proficiency in Python or another relevant programming language.
• Experience with cloud data platforms and modern data stack technologies.
• Strong understanding of data modeling, warehousing concepts, and distributed data systems.
• Proven ability to work cross-functionally and communicate technical concepts to nontechnical stakeholders.
• Experience in payments, fintech, financial services, or transaction-heavy environments is strongly preferred.
• High attention to detail and a commitment to data quality and reliability.