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 will be doing?
Spearhead the development of the insurance data asset as the lead Data Engineer for SafetyCulture CareEnsure the accuracy and availability of the insurance data asset for analysis and business decision-makingUtilize advanced knowledge of data ETL and the AWS suite of tools/infrastructureEnhance and maintain insurance data assets, with a primary focus on data warehouse/data lakes, data pipelines, and curated summary datasetsProvide regular data reports and address ad hoc data requestsWork in a small and multi-disciplinary team with multiple internal and external stakeholders, spanning various roles and senioritiesCollaborate with SafetyCulture data engineers on intriguing big data projects as part of the extended SafetyCulture teamMerge rich SafetyCulture data with SafetyCulture Care's insurance dataset to unearth insights that drive the unique SafetyCulture Care insurance proposition
What you will need?
Working knowledge/experience of General Insurance Knowledge of insurance regulatory frameworks ideally relating to reporting, data governance and controlsExcellent verbal and written communication skillsExcellent problem-solving skillsAbility to manage a wide range of stakeholdersAbility to develop end-to-end data solutions with quality and monitoringExperience with AWS data technologies (EC2, EMR, S3, Redshift, EKS, Glue) and infrastructureWorking 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 AirflowRich experience with Linux and database systems (Postgres)Experience with relational and NoSQL databases, query optimization, and data modelingExperience in one or more of the following: Scala/Java, SQL, Python, R, ShellExperience 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 insuranceKnowledge of Advanced Analytics, Multi-Variate Statistics and MachineLearningDemonstrated ability to bridge between business and data analyticsIntellectual curiosity and an understanding of what drives customer outcomes and positively impacts the business
At SafetyCulture, we care about people and growing the team, through:
Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office;Access to professional and personal training and development opportunities; Hackathons, Workshops, Lunch & Learns; We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies.You’ll also receive other perks such as:In-house Culinary Crew serving up daily breakfast, lunch and snacksWellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policyQuarterly celebrations and team events, including the annual Shiplt global offsiteTable tennis, board games, gym sessions, book club, and pet-friendly offices.
Safety Culture