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Senior Data Analyst / Data Engineer

Blackstone eIT • Systems Integrators • Custom Software Development • Bachelor's Degree • Python • SQL • Scala • Tableau • Power BI • ETL/ELT • 2 months ago
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Salary
≈ $36k – $93k per year (Estimated)
Location
In office (Dubai)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Aug 14, 2026. Blackstone eIT scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Blackstone eIT

Blackstone eIT is a Jordanian technology company that builds enterprise software, artificial intelligence and automation systems for government and corporate clients across the Middle East. Its work covers custom application development, systems integration, robotic process automation, data platforms and increasingly applied artificial intelligence, with a substantial share of revenue from public sector digital transformation programmes in Jordan and the Gulf. Headquartered in Amman, it recruits engineers across the Jordanian market and supplies delivery teams to clients elsewhere in the region where local technical capacity is thinner.
blackstoneeit.com • HQ: Amman, Jordan • AI Consulting & Integration • Systems Integrators • Custom Software Development • 501-1000 employees
Tech stack of Blackstone eIT

Data Engineering: Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources.

Architecture & Storage: Maintain cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lakes.

Data Quality: Implement data governance, validation checks, and error-handling routines.

Advanced Analytics: Query large datasets using complex SQL and Python to extract business value.

Visualization & Reporting: Create automated dashboards and BI reports (Tableau, Power BI) for stakeholders.

Requirements

Experience: 4 to 6+ years of combined experience in data engineering and advanced data analysis.

Programming: Advanced SQL, Python, or Scala.

Big Data & Cloud: Experience with AWS, GCP, or Azure; familiarity with Spark or Hadoop.

BI Tools: Expertise in Power BI or Tableau.

Orchestration: Hands-on practice with tools like Airflow or dbt.

Education: Degree in Computer Science, Engineering, Statistics

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