Cloud Data Engineering Lead

2 days ago


Copenhagen, Copenhagen, Denmark Implement Consulting Group Full time

The Implement Consulting Group is a fast-growing consultancy that leverages cutting-edge technology to help organisations unlock their full potential.

We are passionate about data and strive to make it easy to handle, providing valuable insights through co-creation and advisory services. Our team consists of technical experts with infectious energy, who share a genuine interest in people.

Job Title: Cloud Data Engineering Lead

We seek a highly skilled and experienced cloud data engineering lead to join our team. The ideal candidate will possess a deep understanding of modern data architectures, cloud infrastructure (preferably with a focus on Microsoft Azure), integration frameworks, and data modeling techniques.

Your key responsibilities will be:

  • Design and Implement Scalable Data Systems: Lead the design and implementation of scalable, robust, and secure data systems using modern data stack technologies. Ensure architecture aligns with business objectives and best practices.
  • Support Data Platform Teams: Collaborate with data platform teams to design and implement operating models that support efficient data processing, integrations, reporting, and AI model deployment and execution.
  • Cloud Architecture Expertise: Develop and manage cloud-based data solutions on platforms such as Microsoft Azure, optimising cloud infrastructure for performance, cost, and scalability.
  • Integration Architecture: Design and implement integration solutions that connect disparate business systems and data sources, ensuring seamless data flow across the organisation.
  • Data Modelling: Design and develop data models that support business processes, analytics, and reporting requirements. Ensure data models are optimised for performance and scalability.
  • Deploy Analytics and AI Solutions: Lead the deployment of analytics and AI solutions, ensuring they are integrated into existing systems and processes. Provide guidance on best practices for model deployment and monitoring.
  • Stakeholder Collaboration: Work closely with cross-functional teams, including business stakeholders, data scientists, and IT, to understand data requirements and deliver solutions that meet business needs.
  • Mentorship and Leadership: Provide mentorship and guidance to junior data engineers and other team members, fostering a culture of continuous learning and improvement within the team.
  • Stay Current with Emerging Technologies: Continuously evaluate and recommend new tools and technologies that can improve the efficiency and effectiveness of data engineering processes for our clients.


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