Data Engineering Consultant

What You'll Do

• Partner with client stakeholders to understand business priorities, uncover root causes, define requirements, and translate complex needs into actionable data solutions. • Lead problem-solving activities across ambiguous and complex environments, evaluating options, risks, dependencies, and trade-offs. • Design, build, test, and support scalable data pipelines, lakehouse solutions, and curated data products using Microsoft Fabric and Azure Databricks. • Develop reliable data transformations and engineering components using Python, PySpark, and SQL. • Facilitate discovery sessions, technical workshops, backlog refinement, solution walkthroughs, and stakeholder updates. • Manage stakeholder expectations through clear communication, proactive issue management, and transparent delivery reporting. • Apply sound engineering practices for data quality, observability, security, governance, performance optimization, and operational support. • Contribute to architecture decisions, estimates, delivery plans, technical documentation, and client presentations. • Collaborate with architects, analysts, data scientists, AI engineers, and delivery teams across onshore and offshore environments. • Support and mentor junior team members through technical guidance, reviews, and knowledge sharing. • Explore opportunities to integrate AI engineering capabilities into data solutions, including Microsoft Foundry and Microsoft Copilot Studio. .

Skills and experience

• 3 to 6…