Associate Director, Software Engineering, HSBC

HSBC

Location:
China, Guangzhou

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Highly skilled and experienced Data Engineer Lead, In this role, you will play a critical part in leading the design, development, and maintenance of our data infrastructure, ensuring that our data is reliable, accessible, and insightful for driving business decisions. You will guide a team of data engineers in complex data management projects, working closely with business stakeholders to understand their needs and translate them into robust data models and reporting solutions.

Job Responsibility:

Lead and mentor a team of data engineers in the design, development, and maintenance of data warehouse and data lake solutions, including data modeling, ETL processes, and data pipelines
Collaborate with business stakeholders to understand complex business scenarios and translate them into actionable data models and metrics
Develop and implement data quality checks and monitoring processes to ensure data accuracy and integrity
Architect and build data infrastructure, including data lakes, data warehouses, and data marts, leveraging open-source solutions where appropriate
Design and develop reports, dashboards, and visualizations to provide insights into business performance using tools like Superset, Tableau
Proactively identify and resolve data-related issues, including data anomalies, performance bottlenecks, and data quality problems
Drive data governance initiatives, including data documentation, data lineage, and data access control
Participate in data architecture discussions and contribute to the development of data strategy and roadmap
Plan and manage data infrastructure projects, including resource allocation, timelines, and deliverables
Stay up-to-date with the latest data management technologies and best practices, particularly in the open-source ecosystem
Evaluate and recommend new technologies and tools to improve the efficiency and effectiveness of the data team

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering or data management roles, with a strong focus on data warehousing and data lake solutions
Proven experience in leading and mentoring data engineering teams
Expertise in designing and implementing complex data models, including dimensional modeling and star schema
Strong SQL skills and proficiency in at least one programming language (e.g., Python, Java)
Experience with data warehouse technologies such as Doris, ClickHouse, Snowflake, AWS Redshift, or Google BigQuery
Experience with data visualization tools such as Superset or similar open-source solutions
Strong understanding of data quality principles and best practices
Excellent communication and collaboration skills, with the ability to effectively interact with both technical and non-technical stakeholders
Strong problem-solving skills and a proactive approach to identifying and resolving issues
Experience with agile development methodologies
Experience with at least one cloud-based data platforms (e.g., AWS, Azure, GCP)

Nice to have:

Experience with data governance and data security best practices
Experience with data science and machine learning concepts

What we offer:

Continuous professional development
Flexible working
Opportunities to grow within an inclusive and diverse environment

Additional Information:

Job Posted:
September 29, 2025

Expiration:
October 12, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Associate Director, Software Engineering