Data Engineer at CluedIn
Remote, Tasmania, Australia -
Full Time


Start Date

Immediate

Expiry Date

09 Jul, 25

Salary

0.0

Posted On

10 Apr, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Unstructured Data, Data Analysis, Data Solutions

Industry

Information Technology/IT

Description

JOIN OUR JOURNEY IN TRANSFORMING DATA INTO INSIGHTS

At CluedIn, we’re redefining data management with an Azure-native, graph-based Modern Master Data Managment (MDM) platform that makes managing data faster, simpler, and more accessible than ever.

  • OUR IMPACTCluedIn is trusted by industry leaders worldwide to drive transformation and unlock data’s full potential. As the first MDM solution integrated with Azure Open AI, we’re setting new standards in data innovation.
  • OUR RECOGNITIONWith Five-Star Gartner Peer Insights Reviews and as Microsoft’s preferred partner in MDM, our solutions integrate seamlessly with Microsoft’s data services, empowering our clients with unmatched capabilities.
  • OUR VISIONWe’re building a team of pioneers, innovators, and visionaries. Join our 50-strong, dynamic team and help us shape the future of data management.

SKILLS & QUALIFICATIONS:

  • 3-5 years experience in similar role.
  • Experience working with Azure technologies, including Azure Data Factory, SQL Databases, and Azure Service Bus.
  • Strong ETL and data pipeline experience, handling structured and unstructured data.
  • Hands on experience working with Jupyter Notebooks for data analysis, modelling, and visualisation.
  • A hands-on engineer who enjoys problem-solving, configuring, and optimising data solutions.
  • Strong communication skills – able to explain solutions and features to both technical and non-technical stakeholders.
  • A customer-focused mindset, ensuring successful implementations and long-term value.
  • Experience working in agile environments, delivering projects iteratively.
Responsibilities
  • Own the solution by leading customers from installation to live deployment, ensuring smooth and efficient implementation. Configure, integrate, and customise CluedIn for customer use cases.
  • Collaborate closely with the Customer Success team and customers to understand their requirements and use cases, ensuring solutions align with CluedIn best practices.
  • Design and optimise ETL pipelines, ensuring efficient data ingestion, transformation, and validation.
  • Confidently discuss and recommend solutions, guiding customers toward best practices while maintaining flexibility to find common ground.
  • Connect CluedIn to enterprise systems using Azure Data Factory, REST/SOAP APIs, GraphQL, JSON, and XML.
  • Work with Microsoft Fabric, Azure Databricks and Azure event hub to build scalable, real-time data solutions
  • Provide technical guidance, best practice recommendations, and hands-on training for customers.
  • Work with the Customer Success team to proactively identify potential challenges, communicate status updates, and escalate issues when necessary.
  • Log impediments, provide feedback to the product team, and improve deployment processes while helping shape future product development.
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