Unified Data Engineer

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time $80,000 - $142,000

Karbon is the global leader in practice management software. We provide a cloud platform that streamlines work and communication, enabling firms to save time and increase productivity.

We have customers worldwide and a globally distributed team, with people based in various countries. We are well-funded, ranked #1 on G2, have a great 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 a unified data platform to power our suite of AI tools and insight delivery.

About this role and the work

The role supports both our AI team and our Insights team, critical in delivering features for our 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.
About you

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 SQL and a deep understanding of relational DBMS.

It would be advantageous if you have:

  • Previous experience with Azure cloud.
  • DevOps experience is highly desirable.
  • Experience with Big Data technologies (Spark is highly desirable).
Why work at Karbon?

We offer a range of benefits, including:

  • Gain global experience across the world.
  • 4 weeks annual leave plus additional 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.

We recruit and reward people based on capability and performance, without discrimination.

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