Data Engineering Manager
Data Engineering Manager
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Job Description
ACG2257JOB
Our client is a leading banking company who is looking for a qualified candidate to join their firm.
Data Architecture:
Provide the necessary functionality for business analysts data scientists and other business roles to enhance the banks overall analytical performance and strategy.
Develop best practices and strategies for data infrastructure to meet the data analytics and utilization needs of the business using the latest technologies and capabilities.
Proactively identify opportunities to manage data effectively and offer solutions for complex data integration challenges within the bank.
Assess different data architectures within the bank and leverage them to create data solutions that align with business requirements.
Lead the delivery of data products and services into systems and business processes while ensuring compliance with internal regulatory standards.
Oversee the review of both internal and external business and product requirements for data operations and activities suggesting system and storage improvements to meet ongoing needs.
Data Integration:
Strategically acquire and integrate data from various sources into the firm s platforms solutions and statistical models.
Collaborate with Data Scientists to understand data needs and create reusable data assets that facilitate faster development and deployment of machine learning models.
Design develop and maintain efficient data pipelines and ETL solutions to support business analysis and provide realtime analytics for critical decisionmaking.
Ensure data assets are organized and stored efficiently maintaining high quality reliability flexibility and effectiveness.
Project Management:
Address project conflicts challenges and evolving business requirements to maintain high performance operations.
Work with team leads to resolve personnel issues and project obstacles conduct postmortem reviews and root cause analyses to help teams improve practices and ensure maximum productivity.
Talent Development
Guide and mentor junior Data Engineers to become fully proficient in their roles.
Identify areas for growth and development within the team and encourage improvement.
Recruit onboard and retain top talent to build a highperforming team.
Clearly communicate key responsibilities performance indicators goals action plans expectations and outcomes to team members.
Oversee team performance and provide regular feedback in line with the annual performance review cycle.
Support the professional and personal growth of team members through assessments training coaching and feedback.
Inspire and acknowledge team members efforts towards achieving collective objectives.
Develop and nurture talent within the team.
Lead by example and foster corporate culture at the subfunction level.
Inform team members about relevant HR benefits and services.
Requirements
Bachelor s or Master s degree in a relevant field such as Statistics Mathematics Data Science Computer Science Software Engineering or Information Technology.
Over 4 years of handson experience with big data technologies (like Hadoop Spark Flink Kafka Arrow Tableau) database systems (including SQL NoSQL Graph databases) and programming languages (such as Python R Scala Java Rust Kotlin) with a minimum of 1 year in a leadership role.
Proficiency in English in line with company s language requirements.
Proven ability in designing and implementing data models ETL workflows and data warehousing techniques with experience in optimizing data pipelines and working closely with data architects.
Extensive experience in overseeing and resolving complex data and system issues using a structured approach.
Strong knowledge of data security principles to ensure data management practices are compliant and secure.
Track record of leading successful digital transformation projects within Agile frameworks with experience in mentoring teams on Agile and Scrum methodologies.
Uptodate with current data and analytics trends and technologies.
Experience in developing and delivering highperformance microservices or recommendation systems for large user bases with a history of successful implementations.
Contact: Hieu Nguyen Ngan Nguyen or Dung Nguyen
Due to the immense number of applications only shortlisted candidates will be contacted.
Bachelor s or Master s degree in a relevant field such as Statistics, Mathematics, Data Science, Computer Science, Software Engineering, or Information Technology. Over 4 years of hands-on experience with big data technologies (like Hadoop, Spark, Flink, Kafka, Arrow, Tableau), database systems (including SQL, NoSQL, Graph databases), and programming languages (such as Python, R, Scala, Java, Rust, Kotlin), with a minimum of 1 year in a leadership role. Proficiency in English in line with company s language requirements. Proven ability in designing and implementing data models, ETL workflows, and data warehousing techniques, with experience in optimizing data pipelines and working closely with data architects. Extensive experience in overseeing and resolving complex data and system issues using a structured approach. Strong knowledge of data security principles to ensure data management practices are compliant and secure. Track record of leading successful digital transformation projects within Agile frameworks, with experience in mentoring teams on Agile and Scrum methodologies. Up-to-date with current data and analytics trends and technologies. Experience in developing and delivering high-performance microservices or recommendation systems for large user bases, with a history of successful implementations. Contact: Hieu Nguyen, Ngan Nguyen or Dung Nguyen Due to the immense number of applications, only shortlisted candidates will be contacted.
Employment Type
Full Time
