
Senior Data Engineering
7 days ago
We're seeking an experienced Data Engineering professional to drive the delivery of data platforms, AI, BI, and analytics projects.
The ideal candidate will have a strong track record of managing complex data engineering projects end-to-end, with expertise in modern data architecture, cloud platforms, and Agile methodologies.
Key Responsibilities:- Own the end-to-end delivery of data platform, AI, BI, and analytics projects, ensuring alignment with business objectives and stakeholder expectations.
- Develop comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.
- Lead cross-functional teams including data engineers, data scientists, BI analysts, architects, and business stakeholders to deliver high-quality, scalable solutions on time and within budget.
- Define and prioritize product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.
- Capture and translate business requirements into actionable user stories and acceptance criteria for data and analytics solutions.
- Oversight of BI and analytics area, including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities.
- Ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams.
- Coordinate UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products.
- Serve as primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary.
- Foster a culture of continuous improvement through agile ceremonies like sprint planning, backlog grooming, demos, and retrospectives.
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Senior Data Engineer
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