Data Engineer

Job title: Data Engineer — Real-Time Building Telemetry Company: InfoLabs Global Location: Dubai, United Arab Emirates (on-site) Employment type: Contract / Project-Based engagement

Eligibility

• Candidates must already be residing in the UAE with a valid residence visa

About the role

Dozens of subsystems, thousands of points, inconsistent naming, mixed units. You'll turn that into a clean, normalised, queryable data model that the twin and its analytics depend on.

What you'll do

• Design the canonical data model and tagging standard for building assets and telemetry
• Build ETL/ELT pipelines for both real-time streams and batch/historical loads
• Implement normalisation, unit conversion, deduplication, and data quality validation
• Manage retention, aggregation, and downsampling strategies for time-series data
• Support analytics and reporting requirements
• KPIs, energy trends, utilisation, SLA metrics
• Monitor pipeline health and data completeness

What you'll bring

• 4+ years in data engineering with strong SQL and Python
• Hands-on experience with time-series data and streaming pipelines
• Practical data-mapping experience across heterogeneous source systems
• Familiarity with ETL tooling and orchestration (Airflow, NiFi, or equivalent)
• Rigour about data quality — you validate rather than assume
• Nice to have
• Exposure to semantic tagging standards such as Brick Schema or Project Haystack
• Analytics/BI layer experience (Power BI, Grafana, Superset)
• Location & engagement
• Based in Dubai, UAE — on-site at Info
• Labs Global and at the client facility as the project requires
• Project-based engagement for the duration of the Digital Twin program, with extension subject to project pipeline
• Applicants must currently be in the UAE with a valid residence visa.
• We are not sponsoring relocation for this program, and candidates who cannot join within a short notice period will not be considered.