What you will 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 will 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
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 snacks
- Wellbeing initiatives such as subsidised fitness programs, EAP services and generous parental leave policy
- Quarterly celebrations and team events, including the annual Shiplt global offsite
- Table tennis, board games, gym sessions, book club, and pet-friendly offices.
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What We Do
SafetyCulture is a global technology company that puts the power of continuous improvement into everyone's hands. Our operations platform unlocks the power of observation at scale, giving leaders visibility and workers a voice in driving quality, efficiency, and safety improvements. More than 60,000 customers use our operations platform to perform checks, train staff, report issues, and automate tasks. In doing so, we drive processes that help businesses get better every day. Recent analysis by Forrester found that our flagship products provide a 214% return on investment for customers, and USD $3.6M in cost savings from operational improvements. From top Australian ASX-listed grocer and retailer Coles and American aviation giant JetBlue, to Europe’s largest hospitality multi-national Accor, our operations platform is helping teams in every industry.
