Careers
Data Engineer
Build pipelines teams can trust
You build and run data pipelines, models, and governance that give us one source of truth people can rely on.
Hybrid Riyadh Remote (Saudi Arabia) mid-senior
Pipelines Quality Warehousing KPIs
application notes
If you have sample models or docs (sanitized), include them.
01 CV/LinkedIn
02 Recent pipeline work
03 SQL strength
04 Links (optional)
We use your application only to evaluate you for the role. We do not share it outside hiring.
Responsibilities
- 01 Design ingestion and transformation pipelines with quality checks
- 02 Define data models and metric layers that match the KPI definitions
- 03 Add data monitoring: freshness, drift, failures
- 04 Work with stakeholders to standardize definitions and reports
- 05 Document datasets, lineage, and operational playbooks
Requirements
- 01 Experience building production pipelines and modeling data
- 02 Strong SQL and pragmatic engineering habits
- 03 Comfortable with data quality checks and monitoring
- 04 Clear communication and a habit of documenting
Nice to have
- 01 Experience with BI layers and semantic models
- 02 Experience with event-driven data or CDC patterns
- 03 Background in analytics for operations or logistics
What you'll build
- › A unified KPI layer for operations and executive reporting
- › Reusable pipeline templates and data validation checks
- › Docs that stop teams arguing over the numbers
Stack
SQL ETL/ELT patterns Warehouse and lakehouse concepts Data quality and monitoring
Interview loop
Step 1 01
Intro call
Step 2 02
Data modeling deep dive
Step 3 03
Practical exercise (pipeline plus validation plan)
Step 4 04
Culture and ownership chat
Ready?
Hit apply and we'll reply with clear next steps.