qode.world

Data Engineering Lead

qode.world  โ€ข  Ho Chi Minh City, VN (Onsite)  โ€ข  13 hours ago
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Job Description

This is a position we're hiring for on behalf of our client in cloud industry.

๐Ÿš€ Company Introduction

Our client empowers organizations by transitioning legacy workloads to cutting-edge Cloud, DevOps, and AI technologies. As Vietnam's AWS Partner of the Year for two years in a row, they bring deep expertise and innovative thinking to every project.

They're not just a consultancy, they're a transformation partner. Their dynamic team of engineers, architects, and DevOps experts is passionate about delivering impactful cloud solutions across industries, including FinTech, BFSI, and Digital Startups.

๐Ÿง  About the Role

We are looking for an experienced Data Engineering Lead / Senior Data Engineer who goes beyond building pipelines and understands how data drives business decisions and analytics

In this role, you will:

  • Lead data engineering initiatives
  • Shape data models and analytics foundations
  • Work closely with business stakeholders and customers
  • Guide a team of data engineers

This role is ideal for someone who is ready to step up, take the lead, and own both the technical and business-facing aspects of a fast-growing data practice.

๐Ÿ“Œ Key Responsibilities

Data & Analytics Leadership

Own the design of analytics-ready data models aligned with business KPIs and use cases.

Translate business and customer requirements into scalable data solutions.

Partner with Product, Analytics, and Business teams to define metrics, reporting structures, and data standards.

Data Engineering & Architecture

Participating in and building modern cloud-based data platforms (Data Lake, Data Warehouse, Lakehouse).

Develop and maintain robust ETL/ELT pipelines using tools such as Airflow, DBT, Glue, Spark, etc.

Ensure data quality, reliability, and performance across pipelines and datasets.

Support real-time or nearโ€“real-time data processing when required.

Leadership & Stakeholder Engagement

Lead and mentor data engineers, providing technical guidance and code reviews.

Act as a technical point of contact for customers, explaining data solutions and trade-offs.

Collaborate with Cloud Architects, DevOps, and AI teams to deliver end-to-end solutions.

Contribute to project planning, estimation, and delivery ownership.

๐ŸŽฏ What You Bring

Must-Have:

  • 7+ years of experience in data engineering or related roles.
  • Strong background as a hands-on data engineer (ETL, data modeling, analytics datasets).
  • Experience designing data models for analytics and reporting, not just raw ingestion.
  • Proficient in SQL and Python
  • Hands-on experience with cloud platforms ( AWS preferred; GCP/Azure acceptable).
  • Strong background in business.
  • Experience with orchestration and transformation tools (Airflow, DBT, Glue, etc.).
  • Strong team leadership skills
  • Strong experience working directly with business stakeholders (e.g. Finance, Risk, Sales, Marketing, Operations) to gather data or analytics requirements

Nice-to-Have:

  • Experience working with BI or Analytics teams (Looker, Power BI, Tableau, etc.).
  • Exposure to AI/ML data pipelines or analytics use cases.
  • Consulting or customer-facing experience.
  • Cloud certifications (AWS Data Analytics, Solutions Architect, etc.).

๐ŸŽ What We Offer

  • 13-month salary
  • Project-based bonus
  • Work with cutting-edge cloud & AI technologies.
  • Join global projects with real impact across industries.
  • Modern, dynamic, and multicultural work environment.
  • Clear career path and learning support with access to certifications
  • Flexible working environment and collaborative team culture.
  • Annual company trips, fun team events, and great office vibes.
  • Competitive salary and full benefits package.
qode.world

About qode.world

We revolutionize how talent finds meaningful careers by harnessing the power of data and automation. Our platform utilizes LLMs to parse resumes and reconstruct queries, transforming unstructured data into actionable insights. This enables us to build robust data moats, such as creating 'Private Talent Pools' for recruiters where autonomous agents enrich candidate profiles.

By automating high-volume recruiting workflows, we reduce the marginal cost of work to zero. Agents match profiles to job descriptions, find contact information, and send personalized messages and schedule interviews automatically, significantly decreasing the time to close. Additionally, we transcribe the interviews and make the data searchable, making hiring decisions more objective.

We drive confidence by raising the quality bar for job seekers. We automate technical exercises such as coding tests, evaluate candidates on merit, providing recruiters with pass/fail scores and qualitative feedback.

We also provide Exclusive or Retained Recruitment services, offering specialized recruitment with no upfront cost or a retained model with a partial fee, ensuring exclusivity and dedicated support throughout the hiring process.

Our Fractional Head of People and HR Advisory services offer flexible, strategic support through part-time or interim roles, as well as comprehensive advisory services to guide crucial HR decision-making.

Lastly, our HR Due Diligence process provides thorough insights into the HR frameworks of target companies, helping mitigate risks across the board.

How do you envision the future of recruiting with the integration of such advanced technologies?

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Singapore , SG
Year Founded
2023
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