Senior Software Developer - H&L

About this role

Aspire Software is looking for a Senior Software Developer 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.