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Data Engineer Job Opening In Singapore, Singapore – Now Hiring Kpler


Job description


Data Engineer

At Kpler, we are dedicated to helping our clients navigate complex markets with ease.

By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.


Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms.

Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape.

Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.


The Cargo Models team is responsible for building highly accurate cargo tracking models to provide live trade insights for the global maritime transport industry.

Using a range of advanced Operations Research and Data Science techniques, we process and transform live data and integrate it into several core data pipelines.

Our team directly manages and ensures the quality of the data provided to clients, making us one of the key parts of Kpler.

Responsibilities:

  • Working alongside data engineers, data scientists and product managers, take responsibility for the development and implementation of our core algorithms and back-end data pipelines, based on project requirements and design specifications.
  • Help clients and internal users benefit from the highest cargo tracking data quality by adding new features and reviewing pipelines and integrations with our datastores.
  • Help to optimise system performance, maintain features, troubleshoot issues, and ensure high availability.
  • Demonstrate strong analytical and debugging skills with a proactive approach to learning.

Skills and Experience:

  • Have hands-on experience with Python.

    Experience with Flask or SQLALchemy is a plus.
  • Solid SQL skills for querying and managing relational databases.
  • Knowledge of streaming and big data technologies (such as Kafka or Spark).
  • Comfortable working with Git, code reviews, and Agile methodologies.
  • Have an understanding of containerisation and orchestration tools (e.g., Docker, Kubernetes).
  • Are eager to learn new languages and technologies.

Nice to have:

  • Have worked with AWS (or another cloud provider), using Terraform.
  • Have experience with Scala or other JVM Languages.
  • Exposure to Elasticsearch.
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on.

If you thrive on customer satisfaction and turning ideas into reality, then youve found your ideal destination.

Are you ready to embark on this exciting journey with us?

We make things happen
We act decisively and with purpose, going the extra mile.

We buildtogether
We foster relationships and develop creative solutions to address market challenges.

We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.


Our People Pledge

Dont meet every single requirement?

Research shows that women and people of color are less likely than others to apply if they feel like they dont match 100% of the job requirements.

Dont let the confidence gap stand in your way, wed love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.

Kpler is committed to providing a fair, inclusive and diverse work-environment.

We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community.

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.



By applying, I confirm that I have read and accept the Staff Privacy Notice





PI8276916c9269-30511-38619374

Required Skill Profession

Computer Occupations


  • 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.

33750 Jobs in Singapore
33750
28965 Jobs in Singapore
28965
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 Kpler 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 Computer Occupations 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

Kpler 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 Kpler'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 Kpler, 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 Kpler'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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