Principal Engineer

Vor 5 Tagen

City of Melbourne, Österreich REA Group Vollzeit

Principal Engineer – Data Join REA Group as a Principal Engineer – Data in Richmond. This is a permanent, full‑time role focused on overseeing solution architecture and the design of data systems. What The Role Is All About Collaborate with data scientists, analysts, and platform engineers to ensure reliable, high‑quality data delivery. Drive best practices in data modelling, orchestration, governance, and automation. Actively participate in defining a clear technology strategy for your area through collaboration with Architects, Directors of Engineering, and Engineering Managers. Partner with Engineering Managers to ensure that technical solutions are delivered in alignment with the strategy. Contribute to strategic planning for the data platform roadmap and emerging technologies. Design high‑quality, user‑centric, cross‑squad solutions in collaboration with diverse stakeholders. Foster a vibrant and connected internal technology community through engagement and contributions to knowledge‑sharing. Engage externally to share expertise and build REA’s recognition as a technology thought leader. Coaching and mentoring experienced engineers to foster the next generation of technology leaders. Who We’re Looking For 7+ years of experience in data engineering or related fields. Proficiency in one or more programming languages: Python, Scala, Java, or Kotlin. Strong experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift. Hands‑on experience with data orchestration tools such as Airflow, Dagster, or Prefect. Solid understanding of cloud platforms (AWS, GCP, or Azure). Proven experience designing and optimising large‑scale ETL/ELT workflows. Deep understanding of data architecture, modelling, and performance optimisation. Experience mentoring or coaching at any level, ideally with teams and leading cross‑functional technical projects. Strategic thinker with strong problem‑solving skills. Excellent communication and stakeholder management abilities. Collaborative leadership style with a focus on mentorship. Passionate about building reliable and elegant data solutions. Commitment to continuous learning and staying ahead of emerging technologies. Desirable Skills Experience with dbt for transformation and modular data modelling. Exposure to streaming data technologies such as Kafka, Flink, or Spark Streaming. Knowledge of data governance, metadata management, and observability practices. Familiarity with DevOps principles and CI/CD workflows for data systems. Some Of Our Perks & Benefits A hybrid and flexible approach to working. Flexible leave options including birthday leave and the ability to purchase additional leave. Flexible parental leave offering for primary and secondary carers. The “Because We Care” program offers volunteering leave, community grants, matched payroll giving, and a Community Café that donates 100% of revenue to charity. Hackdays to bring your big ideas to life. Diversity, Equity, and Inclusion We are committed to providing a working environment that embraces and values diversity, equity, and inclusion. If you meet the essential skills and have the dedication to learn, we encourage you to apply even if you don’t meet every point on the list. Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: Engineering and Information Technology Industries: Technology, Information and Media #J-18808-Ljbffr

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