Lead Data Engineer

We are looking for a highly capable, hands-on Data Lead to build and scale PetroApp’s data function.

This role will own the end-to-end data roadmap across analytics, business intelligence, data engineering, governance, and advanced analytics use cases. You will work closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to make data a core competitive advantage for PetroApp.

You will be responsible for building a trusted data foundation, defining the right KPIs, improving decision-making across the company, and enabling high-impact use cases such as transaction analytics, customer growth, fraud/anomaly detection, operational efficiency, and unit economics.

• Define and own PetroApp’s data strategy, roadmap, and operating model.
• Build and scale the company’s data foundation, including ingestion, transformation, modeling, warehousing, and self-service analytics.
• Create a single source of truth for key business and product metrics.
• Partner with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement.
• Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and decision-ready dashboards.
• Design KPI frameworks for areas such as customer growth, retention, transaction performance, service adoption, operational efficiency, fraud/leakage, and profitability.
• Build dashboards, reporting layers, and analytical models that support both day-to-day execution and executive decision-making.
• Establish strong data governance practices, including data quality checks, lineage, documentation, definitions, access controls, and privacy standards.
• Identify and prioritize high-value use cases for advanced analytics, forecasting, anomaly detection, and automation.
• Lead root-cause analysis on business or operational issues and convert findings into measurable actions.
• Hire, mentor, and grow a lean, high-performing data team over time.
• Act as the internal champion for a strong data culture across PetroApp.
  

• 10+ years of experience across data analytics, business intelligence, analytics engineering, data engineering, or related fields.
• 2+ years leading major data initiatives, squads, or teams.
• Strong hands-on expertise in SQL and Python.
• Experience with modern cloud data stacks and tools such as data warehouses, ETL/ELT pipelines, orchestration tools, transformation frameworks, and BI platforms.
• Strong experience designing dashboards and reporting for business and executive stakeholders.
• Proven ability to define KPIs, create semantic consistency, and translate ambiguous business questions into structured analysis.
• Strong understanding of data modeling, pipeline design, and analytics best practices.
• Experience working in high-growth environments with cross-functional stakeholders.
• Excellent communication skills with the ability to influence both technical and non-technical audiences.
• Strong ownership mindset and willingness to operate hands-on.
  

• Experience in SaaS, fintech, payments, mobility, logistics, fleet management, marketplaces, or other transaction-heavy businesses.
• Experience with fraud analytics, anomaly detection, risk analytics, or reconciliation-heavy environments.
• Experience building data capabilities in a scaling company, including hiring and team design.
• Familiarity with experimentation, forecasting, segmentation, and behavioral analytics.
• Exposure to data governance, privacy, and access management in regulated or sensitive environments.

This is an opportunity to build the data function at the center of a scaling business. The Data Lead will shape how PetroApp measures performance, prioritizes opportunities, reduces leakage, improves customer outcomes, and scales intelligently.

• You will own and shape the security function in a high-impact, hands-on lead role.
• You’ll work at the intersection of security, reliability, and platform engineering, directly influencing how PetroApp scales.
• Opportunity to work with a modern tech stack and a team that values pragmatism, automation, and continuous improvement.
• A culture that cares about doing the right thing for customers and partners, with leadership support for investing in security and reliability.