德勤
Senior Consultant / Manager (Data Engineering Lead) - Engineering, AI&Data技术与转型
Senior Consultant / Manager (Data Engineering Lead) - Engineering, AI&Data技术与转型
发布于 5 天前中层管理(经理/总监)
香港
高级经验
全职员工
仅现场办公
本科
信息技术与基础设施
SQL
RAG
DataOps
AI 估算 · 40k–70k
Senior data engineering lead at a top consulting firm in Hong Kong; high skill demand and cloud expertise justify competitive co
职位详情
关于这个职位
This role is for a senior data engineering lead at Deloitte's AI & Data practice in Hong Kong. You will architect and deliver scalable data platforms and pipelines, lead a team of engineers, and drive engineering excellence including CI/CD, data quality, and DataOps. The position involves client-facing work, managing global delivery teams, and building reusable assets. Ideal for experienced data engineers with strong cloud and Spark skills looking to lead technical solutions in a consulting environment.
最低要求
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related fields.
+ years of data engineering experience, with at least 2 years in a leadership or senior architectural role.
Deep experience with Spark (Batch and Structured Streaming), Kafka, or Flink for distributed data processing.
Strong proficiency in at least one cloud provider (e.g., Databricks, AWS Glue/Lambda, Azure Data Factory, GCP Dataflow).
Advanced skills in Python and SQL. Knowledge of Scala or Java is a plus.
Solid experience with DevOps and DataOps tooling and practices.
Understanding of vector databases (e.g., Pinecone, Milvus) and the data requirements for LLM fine-tuning/RAG architectures is highly preferred.
Experience building RAG, agents, or multi-modal AI solutions is a strong advantage.
Good client-facing and communication skills.
Certified in cloud data solution (Databricks, AWS, Azure or GCP) would be an advantage.
Fluent in English and Chinese.
Working proficiency in Mandarin would be an advantage.
工作职责
Provide technical leadership in designing and implementing scalable, robust data platforms and pipelines tailored to diverse client needs.
Lead and mentor a team of Data Engineers, delivering code reviews, technical guidance, and career development.
Drive engineering excellence, setting standards for CI/CD, data quality frameworks, automated testing, and DataOps practices.
Ensure delivery excellence through strong data governance, security, and quality controls.
Diagnose and resolve mission-critical issues, including production failures, data corruption, performance issue, distributed system bottlenecks across cloud environments.
Proactively optimize solution performance. Such as tuning Spark jobs, Databricks/BigQuery configurations, and Python/SQL code to improve latency and reduce cloud costs.
Manage global delivery team, communicate between onshore stakeholders and offshore engineering teams.
Manage delivery progress and stakeholder reporting.
Building internal accelerators, reusable frameworks, and assets to improve delivery speed across the firm.
Act as a technical subject matter expert (SME) in client workshops, effectively translating business requirements into practical engineering solutions.
优先资格
Understanding of vector databases (e.g., Pinecone, Milvus) and the data requirements for LLM fine-tuning/RAG architectures is highly preferred.
Experience building RAG, agents, or multi-modal AI solutions is a strong advantage.
Certified in cloud data solution (Databricks, AWS, Azure or GCP) would be an advantage.
Working proficiency in Mandarin would be an advantage.
AI 洞察
优缺点分析
优点
- Work with cutting-edge data and AI technologies (Spark, cloud, RAG) in a globally recognized consulting firm.
- Opportunity to lead teams and manage client relationships, building both technical and soft skills.
- Exposure to diverse industries and complex data challenges across multiple clients.
- Strong brand name on resume, with potential for rapid career growth in consulting.
- High expectations for delivery and client satisfaction, which may involve tight deadlines and offshore coordination.
- Requires strong communication and stakeholder management skills in addition to deep technical expertise.
- Consulting lifestyle can involve travel and variable work hours, potentially impacting work-life balance.
- Experienced data engineers who enjoy technical leadership, client interaction, and working on varied, high-impact projects in a fast-paced consulting environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to senior manager or director within Deloitte's AI & Data practice, leading larger teams and complex engagements.
- Expand expertise into Gen AI and enterprise architecture, becoming a trusted advisor for clients.
- Opportunity to build reusable assets and accelerators, enhancing your technical brand and consulting skills.
- Architect and implement scalable data platforms and pipelines for diverse clients, ensuring data quality and governance.
- Lead and mentor a team of data engineers, conduct code reviews, and set engineering standards like CI/CD and DataOps.
- Manage global delivery teams, communicate with onshore stakeholders, and report delivery progress.
- Act as a technical SME in client workshops, translating business requirements into engineering solutions.
- Deep experience with Spark, Kafka, or Flink for distributed processing.
- Strong proficiency in a cloud platform (Databricks, AWS, Azure, or GCP).
- Advanced Python and SQL skills
- knowledge of Scala or Java is a plus.
- Solid understanding of DevOps/DataOps and experience with vector databases and RAG architectures.
申请策略
- Tailor your CV to show impact: quantify improvements in performance, cost reduction, or team productivity.
- Prepare to discuss complex data engineering problems you solved in a client-facing or leadership role.
- Emphasize hands-on experience with Spark, cloud platforms (Databricks/AWS/Azure/GCP), and Python/SQL.
- Showcase leadership roles: team lead, technical architect, or manager with examples of mentoring and delivery.
- Highlight any experience with RAG, vector databases, or Gen AI solutions.
- Include certifications like Databricks, AWS, Azure, or GCP to stand out.
- If not already proficient, get certified in a major cloud data platform (e.g., Databricks Certified Data Engineer).
- Deepen understanding of DataOps practices and CI/CD for data pipelines.
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on technical decisions and leadership impact.
- For optimization questions, start with identifying bottleneck (e.g., shuffling, skew), then propose specific config changes (e.g., partitioning, caching).
- For team management, emphasize clear communication, regular syncs, and leveraging tools like Jira/Confluence for transparency.
- Describe a time you designed and implemented a scalable data pipeline. What were the key challenges and trade-offs?
- How do you ensure data quality and governance in a multi-cloud environment?
- Explain how you would optimize a Spark job that is running slowly. Walk me through your approach.
- Tell me about a situation where you had to manage a team across different time zones. How did you ensure effective communication and delivery?
- What is your experience with RAG architectures? How would you design a data pipeline to support an LLM-based application?
匹配度报告
61
综合匹配度
Senior data engineering lead at a top consultancy in Hong Kong, offering cutting-edge tech and leadership development but demanding lifestyle.
适合人群
This role is best for experienced data engineers who prioritize technical growth and leadership over work-life balance.
最强匹配
成长发展匹配
最弱匹配
工作生活匹配
薪资福利60
成长发展85
工作生活30
使命价值70
薪资福利匹配
60中等
Compensation is likely competitive for Hong Kong market, but not explicitly stated. Deloitte offers standard benefits, but no details in JD.
薪资信号未披露（AI估算：40K-70K/月）
成长发展匹配
85较高
The role involves cutting-edge technologies (Spark, cloud, RAG) and leadership development, with clear signals for career growth through mentoring and building assets.
技术前沿前沿/新兴技术
技术栈Spark、Kafka、Flink、Databricks、AWS、Azure、GCP、Python、SQL、RAG、Vector Databases
成长机会career development
业务类型profit_center
工作生活匹配
30较低
On-site work in Hong Kong, no mention of remote or flexible hours. Consulting roles often demand long hours and travel, impacting work-life balance.
工作模式仅现场办公
办公地点市区核心地段
加班情况未提及（无法判断）
使命价值匹配
70中等
The role is in a high-growth industry (AI & data transformation), with opportunities to drive innovation for clients. Social impact is neutral but the work contributes to digital transformation.
行业发展高速增长赛道
社会影响中性/一般
创新程度积极采用新技术
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