Senior Data Engineer - H&L
At a glance
Senior Data Engineering role at Valsoft Corporation. Beirut · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data pipelines and ETL/ELT workflows that serve analytics, reporting and product development
- Shape data models, warehouses and lakes for business and product analysis
- Work with engineering, product, finance, operations and growth teams to turn data needs into usable solutions
- Keep data accurate and observable, while improving platform performance, reliability and scale
- Connect data systems with customer-facing products and internal tools, supporting both batch and real-time processing
What you bring
- Five to eight years in data engineering, analytics engineering or a related discipline
- A degree-level background in computer science, engineering, mathematics or another quantitative field
- Advanced SQL, strong Python or a comparable programming language, and experience with cloud data platforms
- Hands-on knowledge of Snowflake, dbt and Airflow, plus modern data architectures and large-scale pipelines
Who this fits
This suits a senior data engineer who enjoys solving complex data problems and communicating technical ideas across teams. You’ll work onsite in Beirut, Lebanon. Experience in fintech, payments, financial services or transaction-heavy settings is preferred, rather than required.
From the employer
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.
- Strong knowledge of Snowflake, DBT, Airflow.
- Strong knowledge and skills in AI development with top LLMs.
Nice to Have
- Experience working within embedded payments, PayFac, merchant acquiring, or payment processing environments.
- Experience with real-time streaming technologies and event-driven architectures.
- Familiarity with data governance, compliance, and security requirements in regulated industries.
- Experience building customer-facing data products or analytics platforms.
- Interest in or exposure to cybersecurity principles as they relate to data infrastructure (e.g., encryption at rest/in transit, access controls, secure data pipelines).
Why Join Us?
- Build foundational data architecture and systems at one of the most reputable hospitality tech companies.
- Work alongside entrepreneurial teams with significant ownership and autonomy.
- Influence key business decisions through data.
- Join a high-growth environment where your impact is visible and measurable.
- Competitive compensation, benefits, and opportunities for career growth.
The role offers:
- Direct access to and support from the Managing Director and leadership team
- Build foundational data architecture and systems at one of the most reputable hospitality tech companies.
- Work alongside entrepreneurial teams with significant ownership and autonomy.
- Influence key business decisions through data.
- Join a high-growth environment where your impact is visible and measurable.
- Competitive compensation, benefits, and opportunities for career growth.
- A strong customer base and a platform with decades of domain depth to build on
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