What You'll Do:
- Lead discussions with business users and stakeholders to solicit and document requirements for data projects, including data usage, master data management, and AI initiatives.
- Translate business needs into clear, actionable technical specifications and work breakdowns.
- Lead sprint ceremonies and manage project roadmaps to drive on-time, on-budget delivery
- Ensuring clear visibility into project milestones and resource utilization
- Proactively identify and remove obstacles by coordinating with stakeholders and ensuring the team has clear direction, resources, and support to maintain delivery momentum
- Lead the design, development, and optimization of scalable data pipelines, Master Data Management processes, and data services.
- Define robust data models and implement data quality checks along with governance frameworks.
- Encourage continuous learning by assigning real-world projects and case studies, then guiding reflective debriefs to reinforce lessons and foster independent problem-solving
- Facilitate hands-on workshops and knowledge-sharing sessions to strengthen technical competencies and promote best practices across data operations
- Establish and document best-practice run-books, decision logs, and process playbooks.
- Identify and implement process enhancements, enforce CI/CD standards for data workflows, and maintain compliance with data-security and regulatory requirements.
What You’ll Need:
- Experience in Data Engineering, Data Operations or closely related roles
- Experience in leading requirements gathering sessions and translating business needs into technical specifications.
- Strong proficiency in data management practices, including creating data dictionaries and designing data models.
- Experience building and operating large scale data lake and data warehouse.
- Experience with Hadoop ecosystem and big data tools, including Spark and Kafka
- Experience with stream-processing systems including Spark-Streaming
- Hands-on experience with UML and data specification development.
- Experience with Agile & DevOps Practices would be advantageous
- Knowledge in Utilities data standard such as IEC Common Information Model would be advantageous
- Experience in AI and machine learning projects would be advantageous.
- Domain knowledge in Utilities sector would be advantageous
- Experience in Data Fabric and/or Data Mesh Architecture would be advantageous
- Experience in Open Data-Lakehouse would be advantageous
- Excellent communication and interpersonal skills, with the ability to convey complex technical plans into actionable updates.
- Strong analytical and problem-solving abilities, with keen attention to detail.
- Skilled in project-management tools and methodologies; uses data-driven insights to track progress, forecast resource needs, and inform decision-making
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Please click here "Apply", if you are keen to apply for this job.
Thank you for your interest in SP Group. You will be contacted if you are shortlisted for an interview.