qode.world

Data Engineer Manager

qode.world  •  Ho Chi Minh City (Remote)  •  4 hours ago
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Job Description

TMO - Data Engineer Manager

Design, build, and maintain scalable data infrastructure and pipelines that support banking operations, analytics, and regulatory compliance. This role bridges technical leadership with strategic business needs, ensuring data is accurate, secure, and accessible.

Key Responsibilities:

Data Architecture & Pipeline Development

  • Design and implement robust, scalable data pipelines for structured and unstructured data.
  • Oversee ETL/ELT processes to ingest data from core banking systems, CRM, and external sources.
  • Ensure data models support real-time analytics, reporting, and machine learning.
  • Collaborate with data scientists and analysts to provide usable, cleaned and aggregated data to end users

Governance, Security & Compliance

  • Ensure data practices comply with banking regulations (e.g., Basel III, GDPR, local laws).
  • Implement data governance frameworks, including metadata management and lineage tracking.
  • Collaborate with cybersecurity teams to safeguard sensitive financial data.

Performance Optimization

  • Monitor and optimize data infrastructure for performance, reliability, and cost-efficiency.
  • Troubleshoot data issues and ensure high availability of data services.

Innovation & Tooling

  • Evaluate and adopt modern data technologies (e.g., cloud platforms, data lakes, streaming tools).
  • Promote automation and DevOps practices in data engineering workflows.

Qualifications:

  • Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
  • At least 7 years in data engineering, with 2+ years in a leadership role.
  • Strong experience with SQL, Python/Scala, Spark, Kafka, and cloud platforms (AWS/GCP/Azure).
  • Familiarity with banking systems, financial data structures, and regulatory requirements.
  • Excellent communication and stakeholder management skills.
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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