Senior Data Engineer (6 month MTC)

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 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.

Full-time Permanent