Data Engineer

About Karbon

Karbon is the global leader in practice management software for growth-minded accounting firms. We provide an award-winning, highly collaborative cloud platform that streamlines work and communication, enabling the average accounting firm using Karbon to save 18.5 hours per week, per employee.

We have customers in 34 countries and have grown into a globally distributed team, with our people based throughout the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, have a fantastic team culture built on our values, are growing rapidly, and making a global impact.

We are seeking an experienced data engineer who thrives in a fast paced environment. You will have the unique opportunity to build the new unified data platform to power our suite of AI tools and insight delivery.

Karbon is at the start of its Data & AI journey meaning that you will have the opportunity to revolutionize our data platform. This role supports both our AI team and our Insights team, critical in delivering features for the Karbon platform. The successful candidate will be capable of assessing existing architectures and strategically identify opportunities to improve our data platform.

Some of your main responsibilities will include:

• Architecting a unified data platform - Define, map and model the data and data-flows from multiple systems in line with our target data architecture.
• Create and manage data pipelines - that enable the ingestion, transformation, and loading (ETL/ELT) of data from various sources into our Azure data ecosystem.
• Support the AI and insights functions - Bring together resources so our data teams are accessing the same data.
• Data management - Be able to build quality checks and tests for all newly developed code and data assets, checking for completeness and integrity against established processes.
• Collaboration - You can work in a cross-functional team with AI engineers, analysts and full stack developers.

If you're the right person for this role, you have:

• 3 years of relevant work experience in data engineering
• Experience with Databricks
• Strong understanding of ETL & ELT data migration patterns
• Experience developing and maintaining data pipelines (DBT, FiveTran, Stitch, Talend, etc)
• Experience with orchestration tools (Airflow, Dataflow, AWS Glue, etc.)
• Proficiency in a relevant programming language (Python, Javascript, etc.)
• Proficiency in SQL and a deep understanding of relational DBMS

It would be advantageous if you have:

• Previous experience with Azure cloud (Highly desirable)
• DevOps experience is highly desirable
• Experience with Big Data technologies (Spark is highly desirable)

• Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines
• 4 weeks annual leave plus 5 extra "Karbon Days" off a year
• Flexible working environment
• Work with (and learn from) an experienced, high-performing team
• Be part of a fast-growing company that firmly believes in promoting high performers from within
• A collaborative, team-oriented culture that embraces diversity, invests in development, and provides consistent feedback
• Generous parental leave

Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role

We recruit and reward people based on capability and performance. We don't discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization.

Generally, if you are a good person, we want to talk to you.

If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at for a confidential discussion.

At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you