Principal Data Engineer

1 week ago

Melbourne, Victoria, Australia E1 (AU NZ) Full time
Overview

E1 is a SaaS tender management platform connecting commercial builders with subcontractors and suppliers. We are seeking a Principal Data Engineer to elevate our data strategy and the data engineering capabilities across E1's teams. This role focuses on scaling, securing, and governing data platforms to align with business needs, regulatory requirements, and performance goals. Location: Melbourne, Victoria, Australia.



Responsibilities
  • Define and lead E1's data strategy, including data warehousing, ETL/ELT processes, and data platform architecture
  • Partner with the security team to ensure data architecture and governance meet compliance, regulatory, and business requirements, and strengthen privacy and security across data systems
  • Review, optimise, and maintain existing databases, queries, and indexes to maximise efficiency and performance
  • Establish and champion best practices for database design, data modelling, and query optimisation across teams
  • Design, build, and scale robust data pipelines for collecting, aggregating, transforming, and normalising data from multiple sources
  • Provide direct leadership, mentoring, and technical guidance to software engineers in product engineering teams
  • Act as a thought leader and coach, uplifting engineering teams' data literacy and technical capabilities


About You
  • You have demonstrated success in leading data strategy, database architecture, and data pipeline development at scale
  • You have experience leading and mentoring engineers
  • You have expertise in relational databases (design, optimization, architecture)
  • You have familiarity with data platform approaches such as data warehouse, data lake, data mesh, etc
  • You have a strong background in data warehousing, ETL/ELT, and distributed data systems
  • You're proficient in programming languages commonly used for data engineering
  • You have experience with cloud-based data platforms and infrastructure (AWS, GCP, or Azure)
  • You have familiarity with modern data tools (e.g., Snowflake, BigQuery, dbt, Airflow, Kafka)
  • You're happy to learn and work with the tools we use, even if your current stack differs


Perks and Benefits
  • Choose where you work - office, home, or a mix
  • Part-time arrangements may be possible; apply and we'll explore options
  • $5,000 per year for professional development
  • $500 per year to design your own WFH setup
  • Five days entrepreneurial leave per year to work on side projects
  • Paid parental leave (16 weeks primary carer, 6 weeks secondary carer)
  • Volunteer leave
  • Three free and anonymous therapy sessions per year
  • Regular company activities on Friday afternoons (quarterly)
  • 2:1 matching for non-profit donations


Salary

Base pay range: A$190,000.00/yr - A$205,000.00/yr


Salary range: We're transparent about salary ranges at E1; for this role the range is A$190,000 - A$205,000 + super (dependent on experience).



E1 is an equal opportunity employer committed to providing a work environment which embraces and values diversity and inclusion. If you have any support or access requirements, please let us know when you apply so we can make your application process as smooth as possible.


As a Circle Back Initiative Employer, we also commit to responding to every applicant.

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