Senior Data Engineer

🕒 July 8

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PetroApp

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚡ Energy

🚗 Transport

💰 Seed Round on 2019-08

Energy • Transport

PetroApp is a smart system that utilizes NFC technology to help companies and individuals monitor and control fuel consumption and distribution, aiming to eliminate waste and save money. With a substantial network of gas stations across the Kingdom, PetroApp focuses on providing fuel system solutions to enhance efficiency in fuel management.

📋 Description

• Data platform engineering: Design and maintain scalable batch and near-real-time data pipelines across mobile applications, NFC/fuel transactions, station integrations, ERP integrations, payments, support systems, and operational databases. • Data modeling: Create clean, reusable data models for core entities such as customers, vehicles, drivers, stations, transactions, wallets, limits, invoices, products, maintenance services, and geographic coverage. • Reliability and quality: Implement data validation, lineage, observability, alerting, reconciliation, and automated quality checks to ensure business-critical dashboards and reports are accurate and timely. • Analytics enablement: Partner with analytics, product, finance, operations, and customer success teams to deliver self-service datasets, metrics layers, and well-documented data marts. • Performance and cost optimization: Tune queries, storage layouts, orchestration schedules, and cloud resources to improve platform performance and manage infrastructure cost. • Data governance and security: Apply data access controls, PII handling, retention practices, auditability, and compliance-aware engineering patterns across the data lifecycle. • Integration engineering: Build robust ingestion patterns for APIs, webhooks, CDC, files, event streams, third-party integrations, and partner station data feeds. • DevOps for data: Use CI/CD, version control, automated testing, infrastructure-as-code, and deployment standards for data pipelines and transformations. • Incident management: Troubleshoot data incidents, conduct root-cause analysis, reduce recurring failures, and communicate impact clearly to stakeholders. • Technical mentorship: Review designs and code, establish engineering standards, mentor junior team members, and raise the quality bar for data engineering at PetroApp.

🎯 Requirements

• 5+ years of professional experience in data engineering, analytics engineering, platform engineering, or backend engineering with strong data ownership. • Advanced SQL skills, including query optimization, data modeling, window functions, incremental transformations, and large-table performance tuning. • Strong Python programming experience for data pipelines, automation, testing, and production-grade data workflows. • Hands-on experience with workflow orchestration such as Airflow, Dagster, Prefect, or similar tools. • Experience with modern data warehouses or lakehouse platforms such as BigQuery, Snowflake, Redshift, Databricks, Delta Lake, Iceberg, or equivalent. • Experience building reliable ELT/ETL pipelines using tools such as dbt, Spark, Kafka, Flink, Fivetran, Stitch, custom API ingestion, or CDC frameworks. • Practical understanding of data quality, schema evolution, monitoring, alerting, backfills, idempotency, and failure recovery. • Experience designing dimensional, wide-table, and event-based data models for BI, analytics, and operational reporting. • Comfort working with cloud platforms such as AWS, GCP, or Azure, plus Git-based engineering workflows. • Strong communication skills with the ability to translate business requirements into clear technical designs and delivery plans. • Experience in fintech, payments, fleet management, logistics, mobility, marketplace, fuel, or high-volume transaction platforms. • Knowledge of event-driven architectures, streaming data, CDC, API integrations, data contracts, and data mesh or domain-oriented data ownership. • Experience supporting BI tools such as Power BI, Looker, Tableau, Metabase, Superset, or similar platforms. • Familiarity with MLOps or feature engineering for fraud detection, anomaly detection, forecasting, customer segmentation, or optimization use cases. • Experience with data privacy, access control, encryption, secrets management, and compliance expectations in the Middle East or multi-country operations.

🏖️ Benefits

• Competitive salary and benefits package. • Opportunity to work on cutting-edge technology with a passionate team. • Career growth and development opportunities. • A collaborative and inclusive work environment.