Senior Data Engineer

Keeta; São Paulo; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology-driven company in São Paulo is looking for a Senior Data Engineer to enhance safety risk management. You will be responsible for leading data analysis for risk scenarios, building dashboards, and providing data-driven insights for risk mitigation. A Bachelor’s or Master’s in a relevant field is required, along with proficiency in SQL and Python. Experience in risk analytics, ideally in mobility or delivery sectors, is preferred. This role offers an innovative environment focused on operational excellence.

Qualificações

• Strong ability to understand raw data structures and build metric definitions.
• Experience in risk analytics or trust & safety in mobility industries preferred.
• Ability to derive insights from raw data and use them for business objectives.

Responsabilidades

• Lead data analysis and modeling for risk scenarios.
• Build and maintain BI dashboards for monitoring key metrics.
• Provide data-driven insights for risk mitigation strategies.

Conhecimentos

SQL

Python

Machine Learning

Risk Analytics

Data Storytelling

Formação académica

Bachelor’s or Master’s in Statistics, Computer Science, or related fields

Descrição da oferta de emprego

As the Senior Data Engineer, you will play a pivotal role in building the future of safety risk management at Keeta.

Job Responsibilities

• Lead data analysis and modeling for platform risk scenarios
• Conduct risk identification, classification, and early‑warning analysis across rider/driver/courier, merchant, and customer segments.
• Perform bottom‑up data discovery and metric construction
• Conduct in‑depth EDA using raw mobility/delivery platform data (orders, location traces, incentives, behavioral logs).
• Build standardized risk metrics, operational metrics, behavior features, and monitoring indicators from the ground up.
• Apply top‑down business perspective to drive strategy and execution
• Work closely with product, operations, policy, and risk teams to translate high‑level business goals into measurable and actionable metrics.
• Drive 0→1 metric system design for new markets or new products, and evolve metrics for rapid growth and later‑stage refinement.
• Develop dashboards and risk monitoring systems
• Build and maintain BI dashboards to monitor key risk, quality, safety, and operational metrics.
• Detect anomalies, conduct root‐cause analysis, and support incident response and post‑mortem reviews.
• Support cross‑functional decision making and risk strategy design
• Provide data‑driven insights to support risk mitigation strategies, counter‑measure design, operational policy updates, and business optimization.
• Evaluate the impact of policy or product changes, and create closed‑loop measurement frameworks.

Job Requirements

• Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Information Systems, Operations Research, Data Science, or related fields.

Technical Skills

• Proficient in SQL and Python/R for data processing, modeling, and analysis.
• Solid knowledge of machine learning methods (logistic regression, decision trees, anomaly detection, clustering) is preferred.
• Strong ability to understand raw data structures and build robust metric definitions.
• Risk Experience (Core Requirement)
• Experience in risk analytics, trust & safety, fraud detection, operational risk, or platform governance—preferably in mobility, delivery, or other two‑sided marketplace industries.
• Familiar with risk assessment lifecycle: identification → quantification → monitoring → mitigation.
• Bottom‑Up Analytical Capability
• Ability to investigate raw data (orders, trajectory data, incentives, cancellations, GPS signals, courier/driver behavior) and derive structured metrics and actionable insights.
• Top‑Down Business and Strategy Thinking
• Ability to understand business models such as supply‑demand balancing, delivery SLA, driver/courier incentives, merchant performance, and safety/quality frameworks.
• Proven experience in designing and scaling 0→1→N metric systems supporting business objectives.
• Project Experience (strong preferred but not necessary)
• Experience supporting new market entry, new product launches, or rapid‑scale operations is highly preferred.
• Demonstrated ability to independently drive cross‑functional initiatives to completion.

Soft Skills

• Strong analytical reasoning, structured communication, and data storytelling abilities.
• Ability to convert complex analysis into clear, practical recommendations for business stakeholders.
• Proactive, ownership‑driven mindset with high attention to detail.