Careers
Data Engineer
Build reliable pipelines teams can trust
You’ll build and maintain data pipelines, modeling, and governance practices that create a dependable single source of truth.
Hybrid Riyadh (HQ) Remote (Saudi Arabia) mid-senior
PipelinesQualityWarehousingKPIs
Application notes
If you have sample models or documentation (sanitized), include it.
CV/LinkedIn
Recent pipeline work
SQL strength
Links (optional)
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Responsibilities
- • Design ingestion and transformation pipelines with quality checks
- • Define data models and metric layers aligned with KPI definitions
- • Implement data observability: freshness, drift, failures
- • Partner with stakeholders to standardize definitions and reports
- • Document datasets, lineage, and operational playbooks
Requirements
- • Experience building production pipelines and modeling data
- • Strong SQL and pragmatic engineering habits
- • Comfort with data quality validation and monitoring
- • Clear communication and documentation discipline
Nice to have
- • Experience with BI layers and semantic models
- • Experience with event-driven data or CDC patterns
- • Background in analytics for operations/logistics
What you'll build
- • Unified KPI layer for operations and executive reporting
- • Reusable pipeline templates and data validation checks
- • Documentation that prevents metric conflicts
Stack
- • SQL
- • ETL/ELT patterns
- • Warehouse/lakehouse concepts
- • Data quality + monitoring
Interview loop
Step 1
Intro call
Step 2
Data modeling deep dive
Step 3
Practical exercise (pipeline + validation plan)
Step 4
Culture & ownership chat
Ready?
Hit apply and we’ll reply with clear next steps.