About the Company

Cover Genius is a Series E Insurtech that protects the global customers of the world’s largest digital companies including Booking Holdings, owner of Priceline, Kayak and Booking.com, Intuit, Hopper, Skyscanner, Ryanair, Turkish Airlines, Descartes ShipRush, Zip and SeatGeek. We’re also available at Amazon, Flipkart, eBay, Wayfair and SE Asia’s largest company, Shopee.

Our partners integrate with XCover, our award-winning insurance distribution platform, to embed protection for millions of customers worldwide each year. Our team and products have been recognized with dozens of awards including by the Financial Times who ranked Cover Genius as the #1 fastest growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commits itself to diverse cultural programs, in particular “CG Gives” which makes social entrepreneurs out of us all and funds development initiatives in global communities.

Our People are Bold, Authentic, Purposeful and Inspired  

Our People are not Perfect, Traditional, Complacent or Cautious 

About the Role

As the Engineering Manager, Data Platform, you will be the technical and people leader for our Data Engineering team. You will own the responsibilities of developing and maintaining Cover Genius Data Platform.

To drive success in this role, you will have hands-on experience designing and implementing modern cloud Data platforms, with strong SQL and Python skills.

As the Engineering Manager, you will lead the team that builds and operates the platform, balancing delivery with reliability. Regular collaboration with Data Analytics, Data Operations, Data Science, Product Engineering and other data users will be key in ensuring the availability and accuracy they depend on.

Key Responsibilities

• Lead 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.

• Leverage 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.

• Partner with other Data teams to build data models that drive business performance metrics.

Skills & Experience

What you will bring:

• Minimum 7 years of experience in Data Engineering, with at least 2 years leading or managing Data Engineering teams in a fast-paced, high-growth environment.

• Experience implementing data quality, testing and observability practices in the Data Engineering team.

• Extensive, hands-on experience building and maintaining 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.

• High-Performance Data Modeling experience. Deep technical knowledge of warehouse optimization techniques (clustering, partitioning, incremental dbt strategy, caching) to minimize compute scan volumes and accelerate query response times. 

• Experience with streaming/event-driven pipelines e.g. Google Pub/Sub, Kafka, CDC tooling is nice to have.

• FinOps & Cost Optimization: Proven track record of managing and optimizing cloud data platform costs (data warehouse capacity/slot management)

• Track record of adopting AI-assisted development practices within a team — evaluating tools, setting standards for their use and measuring productivity and quality impact.

What you will have:

• 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.

• You are self-motivated, reliable, and able to drive projects to completion in a fast-paced environment.

Why Cover Genius?  

Cover Genius not only cares about being the best in our industry, we care about our team. We’re a business that understands life can be fluid and so we flex to ensure we provide the environment to suit that. What does that mean?  

• Flexible Work Environment - our teams are hybrid. We work from home on Wednesdays and Thursday and attend the office on Monday, Tuesday and Friday with flexibility around start/finish times.

• Global company, with the opportunity to work from any of our offices for 4 weeks a year

• Employee Stock Options - we want our people to share in our success, we reward them with ownership for their contribution in creating a world-class company.

• Work with like-minded people who are passionate about both the work we're doing and giving back. Our CG Gives programs enables us to all become philanthropists through our peer recognition and rewards system.

• Social Initiatives - pictures speak a thousand words!

Sound interesting? If you think you have the best composition of the above, send us your resume and let's chat!

* Cover Genius promotes diversity and inclusivity. We don't tolerate discrimination, demeaning treatment of anyone, or harassment due to race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status.

By submitting your application, you acknowledge that we may collect, store and process your personal data for recruitment purposes. To ensure a fair evaluation, we may use AI to assist in sorting applications, but all final decisions are made by our hiring team and no candidate dispositions are automated. We will keep your information on file for three years from the date of your application.  For detailed information about how we handle your data and our use of AI, please review our full Privacy Policy.