# IT Enterprise Analytics Specialist

> Khibraty · Amman, Jordan · — · Posted 2026-06-30

**Workplace:** on_site

## Description

A leading global pharmaceutical company is seeking an experienced Data Engineer / BI Engineer to design, build, and maintain scalable data platforms that enable analytics, reporting, and data-driven decision making. The role focuses on data ingestion, transformation, modeling, and analytics enablement, with strong emphasis on Python-based data engineering and modern data architectures.

**Responsibilities:**

**1\. Data Engineering & Data Architecture:**

-   Design and maintain scalable data pipelines for ingesting, transforming, and serving structured and semi-structured data.
-   Develop robust data transformation and processing logic using Python and distributed data processing frameworks.
-   Design and maintain analytical data models (dimensional models, fact/dimension tables) optimized for reporting and analytics.
-   Ensure data quality, reliability, performance, and consistency across the data platform.
-   Translate business and analytical requirements into efficient and maintainable data solutions.

**2\. Analytics & BI Enablement:**

-   Build and maintain semantic / analytical models that support enterprise reporting and self-service analytics.
-   Collaborate with analysts and business users to deliver trusted datasets and metrics.
-   Support reporting and dashboarding solutions by providing optimized data structures and calculations.

**3\. Delivery & Collaboration:**

-   Produce clear technical documentation including data models, transformation logic, and pipeline designs.
-   Collaborate with cross-functional teams including data analysts, data engineers, and business stakeholders.

## Requirements

-   Bachelor’s degree in data science, computer science, data engineering, or a relevant field.
-   1-3 years of BI development experience.
-   3+ years of cloud-based BI development experience
-   Excellent English language verbal and written communication.
-   Able to analyse and understand complex data.
-   Able to implement modules that have security and authorization frameworks.
-   Strong problem-solving skills

**Technical Skills:**

Programming & Data Processing:

-   Strong proficiency in Python for data engineering and analytics use cases.
-   Experience building reusable, testable, and maintainable data transformation code.

Data Warehousing & Modeling:

-   Strong knowledge of SQL and analytical query optimization.
-   Solid understanding of data warehousing concepts (ETL/ELT, fact and dimension modeling).
-   Experience designing star and snowflake schemas for analytics and reporting.
-   Understanding of semantic layers and metrics definitions for BI consumption.

Cloud & Modern Data Platforms:

-   Experience working with cloud-based data platforms and data lakes(Preferred Azure).
-   Understanding of scalable data architectures (Lakehouse, warehouse, streaming vs batch).

BI & Analytics:

-   Experience supporting BI and reporting tools through well-designed datasets and models (Preferred Power BI).
-   Knowledge of analytical calculations, KPIs, and performance optimization for reporting workloads.

CI/CD & DevOps (Supporting Skills):

-   Working knowledge of CI/CD concepts applied to data and analytics projects.
-   Experience using version control systems (e.g., Git, Perforce or Apache Subversion) for managing data, code, and artifacts.
-   Familiarity with deployment pipelines and environment promotion for data solutions

## Apply

[Apply at Khibraty](https://apply.workable.com/khibraty/j/E7BAF1ADEE/apply)

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