Data Engineer

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 , Intuit, Uber, Hopper, 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 recognised with dozens of awards including by the Financial Times which ranked Cover Genius as the #1 fastest-growing company in APAC in 2020. Our diverse team across 20+ countries and many language groups commit 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 a Data Engineer in our data Team, you will own the responsibilities of developing and maintaining robust data pipelines and data infrastructure for our analytics, machine learning and reporting platform.

To drive success in this role, you will have experiences in using SQL and Python to design and implement the data platform using cloud based services. As the Data Engineer you will regularly collaborate with data scientists, software engineers and other data users in ensuring the desired data availability and accuracy is achieved.

Key Responsibilities:

• Practice the best software engineering principles to design and implement efficient data pipelines to collect, process, store large volumes of data, from both SQL, API, streaming data and so on

• Following the best practices to maintain and operate the data platform including Airflow, dbt, Dataflow, Clickhouse and BigQuery.

• Achieving the required data availability and accuracy KPI.

• Implementing data governance and security measures, ensuring compliance with data privacy regulations and best practices.

• Troubleshooting and resolving data-related issues, conducting root cause analysis, and implementing preventive measures.

• Support Machine Learning Engineers to creating real-time and batch data pipelines that fit the data specification and ML inference assessment.

• Support Analytics Engineers to build out data models to build out metrics for product performance.

SKILLS AND EXPERIENCE

What you will bring:

• Computer Science or a related STEM field

• Minimum 3 year of working experiences as a data engineer

• Strong proficiency in using cloud data warehouses such as BigQuery, Clickhouse, Snowflake or any other cloud based data warehouse. 

• You have proficient SQL and Python coding skills to deliver reliable solutions for data engineering and/or machine learning use

• You have experiences developing Airflow or other open source data orchestration tool and operate it in production environment for work

• Experiences in building AI Agents is a bonus point

PROFICIENCIES AND ATTRIBUTES:

What you will have:

• You treat data as a product and take end-to-end responsibility for its journey.

• You are adept at navigating ambiguous business requirements and leading projects to deliver reliable, well-defined datasets and data platforms with clear, measurable impact.

• You are passionate about the evolving data landscape and continuously explore modern tools and methodologies.

• You show a keen interest in advancements like new processing engines, lakehouse architectures (e.g., Iceberg, Delta Lake), and improved orchestration frameworks, always seeking better ways to build and manage data systems.

• You have an unwavering focus on the integrity and trustworthiness of data. This is demonstrated in your methodical approach to building testable, observable pipelines, your focus on automation, and your understanding that a data asset isn't "done" until it meets its freshness SLAs, is cost-efficient, and can be trusted by its consumers.

• You are self-motivated and continuously study the new practices and toolings in data engineering.

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. We also have the added bonus of a Wellness day a month.

• 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.