Data Engineer for IT Asset Management

6 hours ago

Knutsford, Cheshire East, United Kingdom Ubique Systems Full time
Job Title: Asset Management and Data Engineer

About the Role:

We are seeking a skilled Data Engineer to support the Product Lifecycle Catalogue (hardware and software) underpinning IT Asset Management (ITAM) in ServiceNow. This role is critical for ensuring that our data systems are robust, secure, and aligned with regulatory requirements, supporting our strategic goals and digital transformation initiatives.

Key Responsibilities:
  • Data System Development: Design, build, and maintain robust data systems, including data pipelines, data warehouses, and data lakes, to efficiently collect, store, process, and analyze large volumes of data.
  • Data Governance: Implement and enforce data governance practices, ensuring data integrity, compliance with regulatory standards, and adherence to our data policies.
  • Collaboration: Work closely with the Solution Architect and Data Analytics teams to align data engineering efforts with broader IT and business objectives.
  • Machine Learning & Data Mining: Apply machine learning techniques and data mining processes to enhance data processing capabilities and extract valuable insights.
  • Secure Coding Practices: Ensure that all data systems are developed with secure coding practices to protect sensitive information and comply with security protocols.
  • Change & Transformation: Support change and transformation initiatives by developing scalable and adaptable data solutions that can evolve with our needs.
  • Database Management: Design and manage database structures that support efficient data storage, retrieval, and analysis.
  • Strategic Thinking: Contribute to the development of data strategies that align with our long-term goals and digital transformation efforts.
  • Risk & Controls: Identify potential risks in data processes and implement controls to mitigate these risks, ensuring compliance with internal and external regulations.
  • Professional Collaboration: Engage with cross-functional teams to ensure that data solutions are fully integrated and support business processes effectively.

Mandatory Requirements:

  • DevOps: Experience with DevOps practices to support continuous integration and deployment of data systems.
  • Data Governance: Strong knowledge of data governance frameworks and their application in a financial environment.
  • Requirements Analysis: Ability to conduct detailed requirements analysis to inform data system design and development.
  • Machine Learning: Proficiency in applying machine learning techniques to data processing and analysis.
  • Data Mining: Experience with data mining techniques to extract valuable insights from large datasets.
  • Strategic Thinking: Ability to align data engineering efforts with our strategic objectives.
  • Data Warehousing (DW): Expertise in designing and managing data warehouses that support large-scale data analysis.
  • Change & Transformation: Experience in supporting change initiatives through the development of flexible and scalable data solutions.
  • Database Structures: Strong skills in designing and managing database structures that ensure efficient data storage and retrieval.
  • Secure Coding Practices: Proficiency in secure coding practices to protect sensitive data.
  • Risk & Controls: Knowledge of risk management and control measures specific to data systems in a financial context.
  • Data Engineering: Proven experience in data engineering, with a focus on building and maintaining data systems in a complex, regulated environment.

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