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Data Engineer Job Opening In Singapore, Singapore – Now Hiring Summit Technical Solutions


Job description

Overview

Join a leading investment management firm in driving technology and data uplift.

This role will make a large impact on the business and how they operate from a technology standpoint.

The firm is focused on enhancing its data infrastructure to support new investment strategies and maintaining pipelines within their data platform that will power multi asset investment strategies, risk management and AI workflows.

Responsibilities

  • Design, build, and optimize scalable data pipelines to collect, clean, and process structured and unstructured financial datasets.

  • Develop and maintain data models, databases, and storage solutions to support quantitative research and trading.

  • Partner with discretionary portfolio managers to deliver reliable and timely data to aid AI driven decision-making.

  • Implement data quality controls, monitoring, and validation frameworks to ensure accuracy and consistency.

  • Advocate for data governance concentrating on standards, lineage, metadata and security to ensure compliance and reliability across the data ecosystem.

  • Drive automation and efficiency in data workflows, ETL/ELT utilities, leveraging cloud and distributed systems.

About you

  • Strong programming skills in Python, SQL, and familiarity with distributed systems (Spark, Kafka, Hadoop, etc.).

  • Minimum 5 years Experience in data engineering with a focus designing and implementing data architectures.

  • Experience working with market data feeds and investment-related datasets
  • Strong knowledge of data lakehouse and open table formats (Iceberg, Delta Lake, Parquet).

  • Experience with cloud platforms (Azure preferred) and modern data warehousing technologies (Databricks, Snowflake, Redshift).

  • Proven track record of building and supporting data infrastructure in a high-performance or financial environment.

  • Excellent problem-solving skills, attention to detail, ownership and ability to communicate effectively in a fast-paced, collaborative setting.

While a resume is preferred, I also welcome tentative inquiries from qualified applicants.

Confidentiality and discretion are assured.

If interested, please email for more information.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Finance

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Data Engineer roles.

33642 Jobs in Singapore
33642
28887 Jobs in Singapore
28887
Download Data Engineer Jobs Trends in Singapore and Singapore

Are You Looking for Data Engineer Job?

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

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Summit Technical Solutions adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

Summit Technical Solutions interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the Summit Technical Solutions'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.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at Summit Technical Solutions, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Summit Technical Solutions's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Engineer Positions

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