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Urgent! Data Engineering Job Opening In Central Singapore Community Development Council – Now Hiring PERSOL



Job description

As a Manager, Data Engineering & Analytics, you will lead the data analytics team and drive the overall data strategy.

This hybrid role combines leadership in data engineering and data analysis, with a strong focus on Azure Data Services and scalable architecture.

You will be responsible for managing data pipelines, ensuring data quality, optimizing infrastructure, and guiding advanced analytics efforts including AI/ML.

Key Responsibilities:

  • Lead and manage a team of local and remote Data Analysts.

  • Design, build, and maintain scalable and efficient data pipelines and architecture.

  • Ensure data quality, governance, security, and compliance.

  • Perform ETL operations across multiple data sources and platforms.

  • Improve and optimize data storage, retrieval, and scalability.

  • Collaborate across business units to deliver data-driven solutions.

  • Drive initiatives in advanced analytics, AI/ML, and emerging data technologies.

  • Own and manage Power BI reporting framework and delivery.

  • Manage analytics project timelines and deliverables.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.

  • 5+ years of experience in data engineering and analytics roles.

  • Strong proficiency in Python, SQL, and Azure cloud platform.

  • Experience with big data tools (e.g., Spark, Hadoop, Kafka).

  • Knowledge of data modeling, data warehousing, and architecture.

  • Strong leadership, project management, and communication skills.

Interested candidates who wish to apply for the advertised position, please click on Apply Now.

We regret that only shortlisted candidates will be notified.

Job Code: ANNH

EA License: 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at I also acknowledge that I have read, understood, and agree to the said Privacy Policy.


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    Unlock Your Data Engineering Potential: Insight & Career Growth Guide


  • Real-time Data Engineering Jobs Trends in Central Singapore Community Development Council, Singapore (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineering in Central Singapore Community Development Council, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 8040 jobs in Singapore and 7467 jobs in Central Singapore Community Development Council. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Data Engineering Job?

    Great news! is currently hiring and seeking a Data Engineering to join their team. Feel free to download the job details.

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  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PERSOL adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying Singapore laws and regulations
  • What Is the Average Salary Range for Data Engineering Positions?

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  • Interview Tips for Data Engineering Job Success
    PERSOL interview tips for Data Engineering

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the PERSOL's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
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    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
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    Final Thought:

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