Data Engineer at Gathern

, , Egypt -

Full Time

Start Date

Immediate

Expiry Date

29 Mar, 26

Salary

0.0

Posted On

29 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Google BigQuery, ETL, ELT, Apache Airflow, Data Modeling, Data Quality, Data Pipeline, Analytics, Documentation, Problem-Solving, Collaboration, Cloud Environments, Data Security, Performance Optimization

Industry

Hospitality

Description

About us: At Gathern, we’re not just a platform, we’re the homegrown Saudi success story that built and leads the alternative hospitality sector across the Kingdom. As the largest peer-to-peer vacation rental marketplace in Saudi Arabia, Gathern enables travelers to explore the country through authentic stays hosted by local residents while directly supporting Saudi Vision 2030 by boosting tourism, empowering communities, and expanding accommodation supply. Backed by our SAR 270 million Series B funding round led by Sanabil Investments (PIF-owned) and valuing Gathern at over SAR 1 billion! We’re entering an exciting new chapter of growth, innovation, and regional expansion as we prepare for a future Tadawul listing . With 5M+ users , guests from 150+ nationalities , a network of 72,000+ hospitality units , and more than SAR 2 billion paid to 33,000+ Saudi hosts, Gathern stands as one of the fastest-growing tech companies in the Kingdom, holding a 44% national market share and 53% in Riyadh! This is your opportunity to join a company that’s redefining travel and shaping the future of tourism in Saudi Arabia! We are looking for an Engineering Manager who combines strong technical expertise with excellent leadership and operational discipline. You will lead engineering teams, ensure successful delivery of complex projects, optimize processes, elevate performance, and drive technical excellence across the organization. You will play a critical role in shaping engineering culture, scaling systems, improving execution, and aligning technical initiatives with business strategy. Key Responsibilities: 1. Data Engineering & Pipeline Ownership Design, build, and maintain scalable data pipelines feeding the central data warehouse (BigQuery). Ensure data accuracy, freshness, reliability, and consistency across all BI and analytics datasets. Own data modeling, schema design, and documentation standards. Support efficient onboarding of new data sources with minimal rework. Optimize data access patterns and performance for BI tools (e.g., Power BI). 2. Data Quality, Observability & Reliability Implement and maintain data quality checks and monitoring mechanisms. Define and enforce core data quality dimensions (accuracy, completeness, consistency, timeliness, validity). Build automated validation checks (freshness SLAs, null thresholds, schema drift detection, referential integrity). Monitor data quality metrics and proactively alert on issues before they impact decision-making. Troubleshoot, debug, and resolve data pipeline and data quality incidents. 3. Collaboration & Enablement Partner closely with BI, Analytics, Product, and Engineering teams to support reporting and insight needs. Enable self-service analytics through well-designed, documented, and trusted datasets. Clearly document technical decisions, data models, and pipeline logic. Support data access controls, permissions, and security best practices in cloud environments. Strong proficiency in SQL, including complex queries and analytical modeling. Hands-on experience with Google BigQuery or comparable cloud data warehouses. Proven experience designing and operating ETL / ELT pipelines. Experience using Apache Airflow for orchestration and scheduling. Solid understanding of data modeling concepts (fact tables, dimensions, schema design). Experience working with semi-structured data (JSON, events, logs). Understanding of access control, permissions, and basic data security concepts in cloud environments. Required Skills & Experience 3+ years of experience in data engineering or similar roles. Strong problem-solving and troubleshooting skills. Ability to work effectively with BI analysts, system analysts, and backend engineers. Clear communication skills and ability to document technical decisions. Comfortable operating in a fast-moving, evolving data environment. Comprehensive medical insurance to support your wellbeing. Fast career growth in a company scaling rapidly across Saudi Arabia and the region. Important Note to Applicants: To ensure a smooth and efficient recruitment process for everyone, we kindly ask all candidates to complete the application questions thoroughly. We review your answers carefully, as they help us understand your experience and expectations clearly from the very beginning and avoid unnecessary back-and-forth later. Applications submitted without properly completed questions may unfortunately be deprioritized. Thank you for taking the time to fill them in thoughtfully.

Responsibilities

The Data Engineer will design, build, and maintain scalable data pipelines while ensuring data accuracy and reliability. They will also implement data quality checks and collaborate with various teams to support reporting and insights.