Cloud Data Engineer

3 days ago

Sydney, New South Wales, Australia beBeeData Full time $160,000 - $200,000
Expert Data Architect

We are seeking an experienced professional to join our team in Sydney. This is a hands-on role requiring deep expertise in data engineering and solution architecture, with a strong focus on cloud technologies.


Key Responsibilities:
  • Client Collaboration and Requirement Gathering - Engage closely with clients to thoroughly understand their business requirements, define comprehensive data strategies, and translate complex needs into scalable, practical solutions.
  • Designing End-to-End Data Solutions - Deliver high-quality, end-to-end data solutions across data ingestion, processing, modelling, and analytics in the cloud to enable scalable and efficient business intelligence.
  • Solution Estimation and Project Scoping - Take ownership of solution estimation and sizing, ensuring accurate scoping of projects and meticulous planning of delivery efforts to align with client expectations and timelines.
  • Design and Implement Scalable ETL/ELT Pipelines - Develop and implement robust data pipelines and ETL/ELT frameworks utilising modern cloud-native technologies, guaranteeing data quality and reliability.
  • Develop Robust Data Models - Develop and optimise robust data models that underpin analytics, reporting, and business intelligence, ensuring maintainability and optimal performance.
  • Collaborate with Internal Teams and External Stakeholders - Collaborate with internal teams and external stakeholders (including clients' stakeholders) to ensure all solutions adhere to recognised architectural standards.
  • Provide Ongoing Technical Leadership - Provide ongoing technical leadership throughout the project lifecycle, encompassing design, development, testing, deployment, and post-production support.

Requirements and Qualifications:
  • Proven 7+ years in data engineering and solution architecture within enterprise-scale environments, specialising in cloud technologies.
  • Proven hands-on expertise with Azure data platform, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage and Azure SQL Database.
  • Demonstrated client-facing experience, effectively engaging with stakeholders to understand and address their needs.
  • Strong skills in solutioning and project estimation, accurately scoping and planning data engineering projects.
  • Expert in SQL and Python, with production-ready code for both batch and real-time use cases; experience with R, Scala, or Java is a plus.

Seniority level
  • Mid-Senior level

Employment type
  • Full-time

Job function
  • Other

Industries
  • Software Development

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