Engineering Manager, Data at Cover Genius

Sydney, New South Wales, Australia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Insurtech, TechnologyIndustries

Requirements

Proven experience in leading or managing a data engineering team in a fast-paced, high-growth environment
Extensive, hands-on experience with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift) and data orchestration tools (e.g., Airflow)
Expert-level proficiency in SQL and strong coding skills in Python, with a track record of delivering reliable and scalable data solutions
B.S. or M.S. in CS or a related STEM field
Minimum of 5-7 years of experience in data engineering, with at least 2 years in a leadership or management capacity
Exceptional leadership and communication skills, with the ability to inspire, motivate, and develop a team of technical experts
A strategic mindset, with the ability to align data initiatives with broader business goals and effectively manage stakeholder expectations
Strong problem-solving abilities and a deep sense of ownership, from technical architecture to team performance
A passion for staying current with new practices and technologies in the data engineering field and empowering your team to do the same
Self-motivated, reliable, and able to drive projects to completion in a fast-paced environment

Responsibilities

Lead and mentor a team of data engineers, fostering a culture of technical excellence, innovation, and continuous improvement
Oversee the design, implementation, and operation of efficient and scalable data pipelines to collect, process, and store large volumes of data from diverse sources including SQL databases, APIs, and streaming services
Define and own the strategic roadmap for our data platform (BigQuery, Airflow, dbt, Dataflow), ensuring scalability, reliability and cost-effectiveness against agreed KPIs (availability, accuracy, latency, spend)
Practise best-practice software engineering (CI/CD, IaC, code reviews, testing, observability) to drive high quality and sustainable delivery across the team
Establish and enforce robust data governance, security and privacy frameworks to meet regulatory and internal compliance standards
Support Analytics Engineers to build out data models to build out metrics for product performance

Skills

Key technologies and capabilities for this role

Data EngineeringData PipelinesData InfrastructureAnalyticsMachine LearningReportingTeam LeadershipMentoring

Questions & Answers

Common questions about this position

What is the salary for this Engineering Manager, Data position?

This information is not specified in the job description.

Is this role remote or office-based, and what is the hybrid policy?

This role is based in the Sydney office and is a hybrid working role, meaning collaboration in office on Monday, Tuesday, and Friday, with flexibility and one wellness day a month.

What key skills and experience are required for this role?

Proven experience leading or managing a data engineering team in a fast-paced environment is required, along with hands-on experience with cloud data warehouses like BigQuery, Snowflake, or Redshift, and tools such as BigQuery, Airflow, dbt, and Dataflow.

What is the company culture like at Cover Genius?

The company values bold, authentic, purposeful, and inspired people who are not perfect, traditional, complacent, or cautious, with a diverse team across 20+ countries committed to cultural programs like 'CG Gives' for global community initiatives.

What makes a strong candidate for this Engineering Manager role?

A strong candidate has proven experience leading data engineering teams in high-growth settings, hands-on expertise with cloud data warehouses and orchestration tools, and the ability to foster technical excellence, innovation, and best practices like CI/CD and data governance.

Cover Genius

Embedded insurance solutions for digital platforms

About Cover Genius

Cover Genius specializes in providing embedded insurance solutions for digital platforms around the world. The company collaborates with major digital companies like Booking Holdings and Ryanair, and its services are available on popular e-commerce sites such as Amazon and eBay. Cover Genius simplifies the integration of insurance products into the purchasing process through a single API, making it easier for its partners to offer insurance at the point of sale. This approach allows customers to access tailored insurance options, including travel protection and extended warranties, without any hassle. Unlike many competitors, Cover Genius focuses on embedding insurance directly into the user experience, which enhances customer satisfaction and streamlines the buying process. The goal of Cover Genius is to provide comprehensive and customized insurance solutions that not only meet the needs of end-users but also support the growth of its partners' businesses.

New York City, New YorkHeadquarters

2013Year Founded

$235.4MTotal Funding

SERIES_ECompany Stage

Fintech, Financial ServicesIndustries

501-1,000Employees

Benefits

Flexible working conditions

Employee stock options

Ongoing learning

Paid parental leave

Wellness initiatives

#WFH when you want

Peer bonuses and founder awards program

International working opportunities

GC Gives giveback program, led by the team

Risks

Competition from Smartpay and Chubb in Asia may hinder expansion efforts.

AutoRek and J.P. Morgan Payments partnership could offer competitive advantages to rivals.

Nezasa and Globespan's personalized travel experiences may reduce demand for travel protection.

Differentiation

Cover Genius offers seamless integration through a single API for global platforms.

The company partners with major digital companies like Booking Holdings and Amazon.

Cover Genius provides tailored insurance products, enhancing customer satisfaction and partner growth.

Upsides

Increased demand for embedded insurance in e-commerce boosts Cover Genius's integration opportunities.

Partnership with Adyen enhances payment experiences, leading to higher conversion rates.

$80M Series E funding indicates strong investor confidence and growth potential.

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