About the job

About OLX Lebanon

OLX Lebanon is the #1 marketplace for selling and buying online in Lebanon. Our aim is to upgrade people's lives by facilitating deals and identifying attractive opportunities for individuals and businesses. Our broader vision is to strengthen local economies, empower small businesses and help everyone in making smarter choices for themselves, the market and the planet.

OLX Lebanon is proudly rooted in the local market while bringing global marketplace standards to our users. Our team is driven by innovation, agility, and a deep understanding of the Lebanese consumer landscape.

We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people's everyday lives.

About The Role

As a Data Engineer at OLX Lebanon, you will help own and evolve the company's modern data platform and ensure that trusted, timely data is available to the business. You will work across the end-to-end data lifecycle: integrating operational and third-party sources, building and maintaining reliable data pipelines, modelling data for analytics, supporting business intelligence, and operating the platform in production. The role is suited to an experienced engineer who can work independently and take meaningful ownership of a production data environment.

Own, operate, and continuously improve OLX Lebanon's production data platform and its core ingestion, transformation, and serving workflows
Design, build, maintain, and troubleshoot reliable batch and incremental data pipelines from operational databases, APIs, cloud storage, and third-party systems
Develop and maintain scalable warehouse models across raw, staging, intermediate, dimensional, and reporting layers
Develop, optimize, and review SQL and Python used for ingestion, transformation, reconciliation, automation, and operational tooling
Build and maintain transformation-as-code workflows using dbt or comparable modern data transformation frameworks
Implement robust production patterns including idempotent processing, retries, schema evolution, scheduling/orchestration, monitoring, alerting, and failure recovery
Ensure data quality and accuracy through automated tests, source-to-target reconciliation, freshness checks, and clear operational controls
Own and support cloud data warehouse workloads, including performance, access, reliability, and cost optimisation
Work with object storage and cloud services used for data ingestion and platform operations, particularly AWS/S3 and related services
Support Power BI and the analytics layer by providing well-modelled, documented, performant datasets and by helping build or troubleshoot reports when required
Partner closely with OLX Data Team as they own business requirements, metric interpretation, and an increasing share of Power BI dashboard development
Collaborate with product, engineering, marketing, growth, finance, advertising, and other business teams through the analytics team where appropriate
Apply strong software-engineering practices including Git-based version control, code review, testing, documentation, deployment discipline, and reusable design
Maintain appropriate data access, privacy, security, and governance controls for sensitive and business-critical data
Document pipelines, models, dependencies, operational procedures, and architecture so that the platform can be supported by more than one engineer

Requirements

Hold a Bachelor's degree in a relevant field or equivalent professional experience
Approximately 4+ years of relevant data engineering experience for mid-senior candidates; Senior candidates should demonstrate deeper independent ownership rather than relying on years alone
Hands-on experience building and operating production ETL/ELT pipelines and cloud-based analytical data platforms
Strong experience with at least one modern cloud data warehouse or lakehouse platform such as Snowflake, Amazon Redshift, Azure Synapse, Google BigQuery, Databricks, or equivalent
Strong hands-on SQL and Python experience
Familiar with dimensional modelling, analytical warehouse design, and working with large-scale datasets
Understanding of dbt is strongly preferred; equivalent transformation-as-code approaches or strong SQL modelling understanding is acceptable
Understanding of cloud infrastructure and object storage concepts
Comfortable with BI and analytics workflows; familiarity with Power BI is a plus
Excellent SQL and strong Python engineering skills
Ability to diagnose production data issues independently across ingestion, transformation, warehouse, and BI layers
Strong Git, code review, testing, documentation, and software-engineering practices
Ability to balance reliability, performance, maintainability, and cloud cost
Ability to communicate technical issues clearly to analysts, engineers, managers, and non-technical stakeholders
Strong written and verbal English.
Show attention to detail, analytical thinking, and a continuous learning mindset
Be driven, self-motivated, and able to handle pressure in a fast-paced environment
Live the team values: Simpler. Better. Faster

Responsibilities

About the job

About OLX Lebanon

We embrace a culture of ownership, creativity, and purpose—where every team member contributes to building smarter solutions that truly make a difference in people's everyday lives.

About The Role

Own, operate, and continuously improve OLX Lebanon's production data platform and its core ingestion, transformation, and serving workflows
Design, build, maintain, and troubleshoot reliable batch and incremental data pipelines from operational databases, APIs, cloud storage, and third-party systems
Develop and maintain scalable warehouse models across raw, staging, intermediate, dimensional, and reporting layers
Develop, optimize, and review SQL and Python used for ingestion, transformation, reconciliation, automation, and operational tooling
Build and maintain transformation-as-code workflows using dbt or comparable modern data transformation frameworks
Implement robust production patterns including idempotent processing, retries, schema evolution, scheduling/orchestration, monitoring, alerting, and failure recovery
Ensure data quality and accuracy through automated tests, source-to-target reconciliation, freshness checks, and clear operational controls
Own and support cloud data warehouse workloads, including performance, access, reliability, and cost optimisation
Work with object storage and cloud services used for data ingestion and platform operations, particularly AWS/S3 and related services
Support Power BI and the analytics layer by providing well-modelled, documented, performant datasets and by helping build or troubleshoot reports when required
Partner closely with OLX Data Team as they own business requirements, metric interpretation, and an increasing share of Power BI dashboard development
Collaborate with product, engineering, marketing, growth, finance, advertising, and other business teams through the analytics team where appropriate
Apply strong software-engineering practices including Git-based version control, code review, testing, documentation, deployment discipline, and reusable design
Maintain appropriate data access, privacy, security, and governance controls for sensitive and business-critical data
Document pipelines, models, dependencies, operational procedures, and architecture so that the platform can be supported by more than one engineer

Requirements

Hold a Bachelor's degree in a relevant field or equivalent professional experience
Approximately 4+ years of relevant data engineering experience for mid-senior candidates; Senior candidates should demonstrate deeper independent ownership rather than relying on years alone
Hands-on experience building and operating production ETL/ELT pipelines and cloud-based analytical data platforms
Strong experience with at least one modern cloud data warehouse or lakehouse platform such as Snowflake, Amazon Redshift, Azure Synapse, Google BigQuery, Databricks, or equivalent
Strong hands-on SQL and Python experience
Familiar with dimensional modelling, analytical warehouse design, and working with large-scale datasets
Understanding of dbt is strongly preferred; equivalent transformation-as-code approaches or strong SQL modelling understanding is acceptable
Understanding of cloud infrastructure and object storage concepts
Comfortable with BI and analytics workflows; familiarity with Power BI is a plus
Excellent SQL and strong Python engineering skills
Ability to diagnose production data issues independently across ingestion, transformation, warehouse, and BI layers
Strong Git, code review, testing, documentation, and software-engineering practices
Ability to balance reliability, performance, maintainability, and cloud cost
Ability to communicate technical issues clearly to analysts, engineers, managers, and non-technical stakeholders
Strong written and verbal English.
Show attention to detail, analytical thinking, and a continuous learning mindset
Be driven, self-motivated, and able to handle pressure in a fast-paced environment
Live the team values: Simpler. Better. Faster