- Location
- Manila, Philippines
- Last Published
- Jul. 18, 2025
- Sector
- Business Applications
- Function
- Data Science
SafetyCulture is an Australian-based, international tech scale-up. We create SaaS solutions that empower front line workers to drive operational excellence and take ownership of their safety and wellbeing. The SC app was launched in 2012 to solve a global problem. Reduce workplace injuries and help frontline workers get home safely to their families. Fast forward 7 years, and we have hundreds of thousands of workers in over 150 countries using our platform, conducting millions of inspections every month. We’re excited to have a largely untapped global market and ambitious goals to reach 100 million workers. We’re looking for talented and mission-driven people to drive that growth. SafetyCulture Care is an underwriting agency in the Australian insurance market with our parent company, SafetyCulture, having the largest repository of safety data in the world. We are looking to use this data to help businesses run a better, safer business. We combine insurance data and risk management data to help prevent things from going wrong. As Lead Data Engineer in the SafetyCulture Care Technical team, you will be responsible for supporting the design, implementation, and maintaining insurance data assets. This is a unique opportunity to take the lead in shaping the insurance data asset and collaborating with SafetyCulture data engineers on the SafetyCulture data assets.
What you’ll be doing
- Spearhead the development of the insurance data asset as the lead Data Engineer for SafetyCulture Care
- Ensure the accuracy and availability of the insurance data asset for analysis and business decision-making
- Utilize advanced knowledge of data ETL and the AWS suite of tools/infrastructure
- Enhance and maintain insurance data assets, with a primary focus on data warehouse/data lakes, data pipelines, and curated summary datasets
- Provide regular data reports and address ad hoc data requests
- Work in a small and multi-disciplinary team with multiple internal and external stakeholders, spanning various roles and seniorities
- Collaborate with SafetyCulture data engineers on intriguing big data projects as part of the extended SafetyCulture team
- Merge rich SafetyCulture data with SafetyCulture Care's insurance dataset to unearth insights that drive the unique SafetyCulture Care insurance proposition
What you’ll need
- Working knowledge/experience of General Insurance
- Knowledge of insurance regulatory frameworks ideally relating to reporting, data governance and controls
- Excellent verbal and written communication skills
- Excellent problem-solving skills
- Ability to manage a wide range of stakeholders
- Ability to develop end-to-end data solutions with quality and monitoring
- Experience with AWS data technologies (EC2, EMR, S3, Redshift, EKS, Glue) and infrastructure
- Working knowledge of reporting and dashboarding tools such as Tableau, Hex, PowerBI, MicroStrategy, QlikSense, SAS VA.
- Working knowledge of big data technologies such as Apache Spark, Apache Kafka, and Apache Airflow
- Rich experience with Linux and database systems (Postgres)
- Experience with relational and NoSQL databases, query optimization, and data modeling
- Experience in one or more of the following: Scala/Java, SQL, Python, R, Shell
- Experience with container technologies (Docker, Kubernetes), Agile development, DevOps (Terraform), CI/CD frameworks and technologies and CI tools
Nice to have
- 5 to 8 years of data engineering experience in commercial insurance
- Knowledge of Advanced Analytics, Multi-Variate Statistics and MachineLearning
- Demonstrated ability to bridge between business and data analytics
- Intellectual curiosity and an understanding of what drives customer outcomes and positively impacts the business