Responsibilities
- Lead and coach Agile data engineering teams to meet engineering standards across sprint delivery, backlog planning, performance management, code quality, development guardrails, and testing practices
- Drive Agile delivery excellence across data platforms, ensuring high standards in data quality and testing, code review practices, CI/CD for data pipelines, and documentation and operational readiness
- Partner closely with data architects, product managers, analytics teams, platform teams, and governance stakeholders to deliver data capabilities aligned with business priorities
- Own and execute the data engineering roadmap, balancing near-term delivery with long- term platform scalability and sustainability
- Contribute to data platform architecture and design, spanning ingestion, transformation, storage, and consumption layers
- Develop and mentor engineers to become T-shaped practitioners, capable of working across batch, streaming, analytics engineering, and platform domains
- Take ownership of technical and data debt remediation, including legacy pipelines, performance bottlenecks, and data quality issues
- Stay current with modern data engineering tools, patterns, and best practices, particularly within the Databricks ecosystem
- Be accountable for the end-to-end lifecycle of data solutions, from design and build through deployment, monitoring, and ongoing support
- Empower teams to operate with high autonomy and accountability, ensuring the reliability and resilience of data products
- Lead initiatives to enhance data delivery processes, including automation, observability, and operational excellence
- Foster a culture of continuous improvement, experimentation, and innovation through modern delivery practices
- Drive career development and progression for data engineers, partnering with HR on performance management and growth pathways
Requirements
- Over 10 years of experience in software engineering or data engineering
- At least 4 years in engineering leadership roles, preferably within data, analytics, or platform teams
- Experience operating in regulated industries, with a strong preference for banking or financial services
- Strong people leadership capabilities, with a track record of mentoring, developing, and scaling data engineering teams
- Hands-on experience creating and maintaining technical documentation, including architecture designs, runbooks, and data specifications
- Proven ability to work across regions and manage multiple stakeholders, balancing competing priorities effectively
- Deep understanding of data quality, system reliability, and operational excellence in production environments
- Clear ownership of SLAs and SLOs, ensuring data availability and freshness
- Experience collaborating closely with risk, compliance, and audit functions
- Accountability for data cost management and optimisation
- Experience with one of following/ similar technologies:
- Strong hands-on experience with Databricks, Apache Spark, and lakehouse architectures
- Solid understanding of data warehousing principles, dimensional modeling, and analytics-driven use cases
- Proven experience designing, building, and operating batch and streaming data pipelines
- Familiarity with Delta Lake, including data versioning and schema evolution practices
- Good knowledge of data quality, validation, lineage, and data observability frameworks and toolso Strong understanding of cloud platforms - AWS (Lambda, S3, API Gateway, CLI, ECS, EKS, etc.) or Google Cloud Platform is required
- Experience working with formal software development methodologies (e.g., Agile, Scrum, CI/CD)
Benefits
- Meal and parking allowance are covered by the company
- Full benefits and salary rank during probation
- Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory
- Performance bonus up to 2 months
- 13th month salary pro-rata
- 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave
- SMART goals and clear career opportunities (technical seminar, conference, and career talk) – we focus on your development
- Values-driven, international working environment, and agile culture
- Overseas travel opportunities for training and working related
- Internal Hackathons and company’s events (team building, coffee run, blue card…)
- Work-life balance 40-hr per week from Mon to Fri
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: uyen.nguyen@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
