Head of Data Engineering
EXUS • Lebanon
Posted: May 4, 2026
Job Description
EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software. EXUS launched its Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results. Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 52 countries worldwide (MENA, EU, SEA). Two of our clients in SEA are major banks in the Philippines. We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.
Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world.
This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.
Our shared Values:
- We are transparent and direct
- We are positive and fun, never cynical or sarcastic
- We are eager to learn and explore
- We put the greater good first
- We are frugal and we do not waste resources
- We are fanatically disciplined, we deliver on our promises
We are EXUS! Are you?
EXUS is seeking a Head of Data Engineering to lead the strategic direction, architecture, and delivery of our data engineering function. This role is responsible for building and scaling a robust data platform designed to support business intelligence, analytics, product development, and operational excellence across the organization.
The successful candidate will combine strong technical expertise with proven leadership capability, driving the design and operation of modern data pipelines and platforms with a focus on ClickHouse or other relevant tool, Apache Airflow, ETL/ELT, SQL, Python, and cloud infrastructure. Working closely with cross-functional stakeholders, the Head of Data Engineering will ensure that data assets are reliable, scalable, secure, and aligned with business priorities.
Responsibilities
- Define and lead the data engineering strategy, roadmap, and architecture
- Build, manage, and develop a high-performing data engineering team
- Oversee the design and operation of scalable data pipelines and platform services
- Ensure high standards in data reliability, observability, governance, and performance
- Partner with engineering, analytics, and business teams to deliver trusted data capabilities
- BSc degree in Computer Science, Engineering, Mathematics, Statistics, or similar.
- Significant experience in data engineering and platform architecture, with a minimum of 5 years of relevant experience.
- Demonstrated success in leading and developing engineering teams
- Strong hands-on expertise with ClickHouse (or similar tools), Apache Airflow, SQL, Python, and modern ETL/ELT practices.
- Solid understanding of cloud-based data platforms and engineering best practices
- Strong communication, stakeholder management, and organizational leadership skills
Additional Content
EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software. EXUS launched its Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results. Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 52 countries worldwide (MENA, EU, SEA). Two of our clients in SEA are major banks in the Philippines. We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.
Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world.
This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people. We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good. We are positive and eager to learn and explore. We are committed to our vision.
Our shared Values:
- We are transparent and direct
- We are positive and fun, never cynical or sarcastic
- We are eager to learn and explore
- We put the greater good first
- We are frugal and we do not waste resources
- We are fanatically disciplined, we deliver on our promises
We are EXUS! Are you?
EXUS is seeking a Head of Data Engineering to lead the strategic direction, architecture, and delivery of our data engineering function. This role is responsible for building and scaling a robust data platform designed to support business intelligence, analytics, product development, and operational excellence across the organization.
The successful candidate will combine strong technical expertise with proven leadership capability, driving the design and operation of modern data pipelines and platforms with a focus on ClickHouse or other relevant tool, Apache Airflow, ETL/ELT, SQL, Python, and cloud infrastructure. Working closely with cross-functional stakeholders, the Head of Data Engineering will ensure that data assets are reliable, scalable, secure, and aligned with business priorities.
Responsibilities
- Define and lead the data engineering strategy, roadmap, and architecture
- Build, manage, and develop a high-performing data engineering team
- Oversee the design and operation of scalable data pipelines and platform services
- Ensure high standards in data reliability, observability, governance, and performance
- Partner with engineering, analytics, and business teams to deliver trusted data capabilities
- BSc degree in Computer Science, Engineering, Mathematics, Statistics, or similar.
- Significant experience in data engineering and platform architecture, with a minimum of 5 years of relevant experience.
- Demonstrated success in leading and developing engineering teams
- Strong hands-on expertise with ClickHouse (or similar tools), Apache Airflow, SQL, Python, and modern ETL/ELT practices.
- Solid understanding of cloud-based data platforms and engineering best practices
- Strong communication, stakeholder management, and organizational leadership skills