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


Job description

WHO WE ARE


Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai.

Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management.

By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets.

We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.


We’re looking for a hands-on Data Engineer to accelerate the way our traders and researchers generate alpha in commodity derivatives, including iron ore, electricity, petroleum and other commodities products.

In this role, you’ll design and build flexible, high-performance data onboarding and research workflows that enable new datasets to be evaluated in days.


You’ll be embedded closely with trading and research teams, building tools and infrastructure that streamline the entire data journey, from ingestion to live signal evaluation and model updates.

You will work with our best engineers, traders, and researchers.

Your ideas will be shipped to production quickly, and will impact trading outcomes the next day.

WHAT YOU'LL DO


  • Build and maintain robust ingestion pipelines for a wide range of external datasets (e.g. news, freight, weather, demand forecasts, surveys, regulatory).

  • Develop lightweight, scalable schemas and storage patterns to support rapid data exploration.

  • Work closely with traders and researchers to identify pain points and design tools that remove workflow friction.

  • Create sandboxed pipelines for fast experimentation with new datasets, with a clear path to production if they prove valuable.

  • Champion best practices in data lineage, reproducibility, and accessibility.
  • WHO YOU ARE


    We are looking for a highly skilled Data Engineer with:


  • Minimum 4 years of experience as a data engineer or in a similar role, ideally in a trading, hedge fund, or alternative data environment.

  • Strong programming skills in Python and SQL, and deep familiarity with modern data tooling (e.g. Airflow, Spark, Databricks, etc.).

  • A proven track record of building fast, flexible pipelines that empower researchers or trading teams to iterate quickly.

  • A pragmatic mindset with the ability to balance speed and long-term scalability.

  • Strong communication skills and genuine curiosity about markets and how data drives trading outcomes.
  • WHAT YOU'LL GET


    You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers.

    Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.


    In return for your expertise, you will be offered a competitive salary package as well as access to a range of Optiver perks, including:


  • The chance to work alongside best-in-class professionals




  • Competitive remuneration, including an attractive bonus structure and additional leave entitlements




  • Training, mentorship and personal development opportunities




  • Gym membership plus weekly in-house chair massages




  • Daily breakfast, lunch and snacks


  • Optiver is committed to , and it is hardwired through every stage of our hiring process.

    We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

    You are viewing: Data Engineer

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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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 Optiver 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.

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    Interview Tips for Data Engineer Job Success

    Optiver 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 Optiver'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.

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

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    Final Thought:

    To prepare for your Data Engineer interview at Optiver, 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 Optiver'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!

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