Senior Data Engineer

The Senior Data Engineer is responsible for bridging business objectives and technical execution, leading the delivery of data engineering initiatives spanning data lakes, data platform modernization, and reporting solutions.

Key responsibilities include:

• Partnering with business unit leaders, product owners, and IT stakeholders to capture business requirements and define project scopes
• Performing workload and effort estimation, breaking down complex data initiatives into detailed technical epics, user stories, and execution roadmaps
• Driving project delivery from architecture design through to testing, deployment, and operational handoff
• Serving as the primary technical interface between business stakeholders and the data engineering team
• Designing, building, and optimizing scalable batch and real-time data pipelines, data lakehouse architectures, and data warehousing solutions
• Providing technical leadership for enterprise data platforms, driving architecture, engineering best practices, platform optimization, and innovation across Azure Cloud, Databricks (Spark), DataWorks, MaxCompute, OSS, and Hologres
• Implementing robust data orchestration, data ingestion, cleansing, transformation, augmentation, and data quality control processes
• Establishing and enforcing technical quality standards, data governance frameworks, and best practices across data ingestion, storage, and processing
• Conducting thorough code reviews, leading technical troubleshooting, and ensuring data pipelines are secure, resilient, and cost-optimized
• Mentoring and coaching mid/junior data engineers, fostering a collaborative, continuous-learning environment

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Quantitative Engineering, or a related field
• Minimum 10+ years of IT experience, with at least 3+ years specifically in data engineering delivery leadership or technical lead roles
• Solid domain understanding of the Insurance or Financial Services industry
• Proven track record in delivery leadership
• Hands-on experience with Azure Cloud Services, database technology, and strong proficiency with Azure Databricks, Apache Spark, and modern ETL/ELT pipeline design
• Deep expertise in enterprise data design methodologies, dimensional modeling, data lakehouse architecture, and data warehousing concepts
• Excellent verbal and written communication skills
• Practical experience or familiarity with AliCloud big data tools, specifically DataWorks, MaxCompute, OSS, and Hologres
• Experience with FineBI, Power BI, or similar enterprise reporting tools

Benefits:

• Empowered to learn and grow in your career
• Flexible environment with well-being and inclusion prioritized
• Opportunity to shape the future as part of a global team