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Data Engineering Expert, Intelligent Automation Specialist

2 weeks ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $150,000 - $180,000
Job Title:
Data Engineering Expert, Intelligent Automation Consultant

We are seeking a seasoned technical professional to drive innovative solutions in data engineering and integration. As a key member of our presales team, you will play a pivotal role in articulating the benefits and capabilities of integrated data solutions to business and technical stakeholders.

About the Role:

We require an experienced expert who can serve as a technical advisor and advocate for data engineering and integration. You will lead technical discovery sessions, understand complex challenges and requirements, and translate them into effective solutions aligned with customer objectives.


Main Responsibilities:
  • Data Solution Design: Develop robust architectures that leverage the full potential of data engineering and integration to support data ingestion, transformation, analytics, and actionable insights.
  • Customer Engagement: Collaborate closely with sales, product, and delivery teams to ensure comprehensive solution alignment and successful project execution.
  • Solution Delivery: Drive sales targets with tailored data integration-focused solutions from opportunity qualification through close.
  • Continuous Learning: Maintain deep expertise on industry trends and emerging technologies in data engineering.

Requirements:
  • Experience in leveraging AI to enhance work processes, decision-making, or problem-solving.
  • 5+ years of experience in technical presales, solution architecture, or consulting roles, with a demonstrated track record in enterprise-scale data integration and analytics solutions.
  • Strong technical background in data engineering, including hands-on experience with data ingestion tools, ETL processes, data modeling, storage solutions, and analytics platforms.
  • Familiarity with integration technologies, including REST APIs, SOAP, JSON, JDBC, data pipelines, streaming data platforms, and middleware technologies.
  • Working knowledge of software development practices and proficiency in programming languages and technologies such as JavaScript, Angular JS, React JS, HTML5, CSS, SQL, Python, or equivalent.
  • Experience with low-code/no-code application development platforms; familiarity with data engineering platform certifications is strongly preferred.
  • Exposure to additional technologies such as Robotic Process Automation (RPA), Generative AI, and Continuous Integration/Continuous Deployment (CICD) practices is a plus.
  • Exceptional stakeholder management skills, capable of engaging diverse personas ranging from technical teams to executive-level decision-makers.
  • Consultative mindset with a focus on identifying and driving process improvement and operational efficiency.
  • Outstanding communication, storytelling, and presentation skills to articulate complex technical solutions clearly and persuasively.