Lead Data Engineer

About the role

We are looking for a highly capable hands-on Data Lead to build and scale PetroApps 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.

Key responsibilities

• Define and own PetroApps data strategy roadmap and operating model.
• Build and scale the companys 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.
  
  

Preferred experience

• 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.

Why join this role

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.
• Youll 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.

Required Experience:

IC