# Data Engineer (Python)

> Qode · Eastern Province, Saudi Arabia · Contract · Posted 2026-06-24

**Workplace:** on_site

## Description

**Data Engineer (Python)**

**Experience:** 5–6 years | **Location:** Dhahran/Khobar, KSA — onsite only | **Duration:** 3 months (extension possible) | **Availability:** Immediate

**Role Overview**

Build the data backbone of the MRO Inventory Optimization solution — ingestion, cleansing, transformation, and the optimization logic that turns raw SAP material master and inventory data into actionable outputs. You'll own pipelines from source through to the analytics and application layers.

**Must-Have — technical depth expected**

-   **Python:** Production-grade code, modular design, packaging, logging, config management, unit testing (pytest); strong grasp of data structures and performance.
-   **Pandas / NumPy:** Vectorized transformations, joins/merges, groupby/aggregation, handling large datasets, deduplication, type coercion, working with messy real-world MRO/master data.
-   **Airflow:** Authoring DAGs, operators/sensors, scheduling and backfills, task dependencies, retries/SLAs, idempotent pipeline design, parameterization.
-   **BigQuery:** Writing performant SQL, partitioning/clustering, cost-aware querying, loading/exporting data, working with nested/repeated fields.
-   **SQL:** Advanced joins, window functions, CTEs, aggregation, query optimization across relational and warehouse engines.
-   **API development:** Building and consuming REST APIs (FastAPI/Flask), request validation, pagination, integration with upstream systems (e.g., SAP-sourced data via CPI/OData).

**Good-to-Have**

PySpark (distributed transforms), ML basics (forecasting/classification relevant to inventory optimization — EOQ, demand forecasting, slow-moving/obsolete stock detection), data quality frameworks (Great Expectations or similar), Docker, CI/CD.

**Scope of Work**

-   **Data ingestion** from SAP material master and inventory feeds (via API/OData) and other sources into the warehouse.
-   **Data cleansing** and **master data processing** — standardizing material descriptions, deduplication, classification, handling incomplete records.
-   Build and orchestrate **ETL pipelines** (Airflow → BigQuery), ensuring reliability, idempotency, and data lineage.
-   Implement **inventory optimization logic** (reorder points, safety stock, EOQ, criticality/ABC analysis, obsolescence flags).
-   Develop **backend services / APIs** exposing processed data to the UI and BI layers.

## Apply

[Apply at Qode](https://apply.workable.com/qodeworld/j/724399117A/apply)

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