PetroApp

Data Engineer

• 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.

Senior Data Engineer

Analytics Engineer

• Business insight and decision support: Translate strategic and operational questions into clear analyses, dashboards, reports, and recommendations for leadership and functional teams.
• KPI and metrics ownership: Define, document, and govern business metrics across fuel consumption, transaction activity, customer adoption, fleet performance, station coverage, invoicing, product usage, savings, churn, and operational efficiency.
• Dashboard and reporting delivery: Build reliable self-service dashboards for executives, product, sales, finance, operations, customer success, and country or regional teams.
• Customer and product analytics: Analyze user journeys, feature adoption, customer cohorts, fleet behavior, transaction trends, fuel limits, budget usage, and drop-off points to guide product and growth decisions.
• Operations and finance analytics: Support reconciliation, invoicing, station performance, wallet movement, service usage, cost analysis, revenue tracking, and profitability insights.
• Fraud and anomaly insight: Partner with product, operations, and data engineering to identify unusual fuel patterns, tampering indicators, policy exceptions, and monitoring rules that improve trust and control.
• Experimentation and forecasting: Design analyses for pilots, pricing, campaigns, product launches, and operational changes; support forecasting for consumption, transactions, customer demand, and station utilization.
• Data storytelling: Present insights clearly, explain trade-offs, quantify impact, and convert analysis into practical recommendations and action plans.
• Data quality partnership: Work with data engineering to improve source data, metric definitions, documentation, dashboard reliability, and analytics-ready datasets.
• Analytics mentorship: Set standards for analysis quality, dashboard design, metric governance, and stakeholder communication while mentoring less experienced analysts.

Senior Data Analytics Specialist

Product Designer

• - One coherent system. Take a fragmented multi-app experience and unify it. Build the design system that lets us ship faster without it looking like five different teams did the work. Arabic-first, RTL done right, not bolted on.
• - The hard flows. Fleet dashboards dense with data. A driver flow that works one-handed at a pump. A wallet that has to satisfy both a nervous first-time user and SAMA. You'll lead these yourself.
• - The B2C app, fully. Our consumer app is young and you'll own its design outright, direction down to detail, plus the bridges between a company's fleet and the personal cars its employees drive.
• - How we work, not just what we ship. We're betting that AI changes how design, product, and engineering get done, not just what ends up on screen. You'll lead that bet. Test new tools and methods, find the ones that actually make us faster, and pull the rest of the org along. Curiosity here is part of the job, not a side hobby.
• - Proof, not opinion. Usability tests, analytics, real driver and admin feedback from the ground. We decide with evidence.
• - A team and a bar. Mentor the designers we have, help hire the ones we need, and run reviews that make everyone's work sharper.

Senior Data Engineer

Senior Data Analytics Specialist

Product Design Lead