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Senior/Lead Python & Data Engineer Job Opening In Singapore, Singapore – Now Hiring Zühlke Group


Job description

Join to apply for the
Senior/Lead Python & Data Engineer
role at
Zühlke Group
Join to apply for the
Senior/Lead Python & Data Engineer
role at
Zühlke Group
Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia.

We are a global transformation partner, with engineering and innovation in our DNA.

We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities.

Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering.

We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.


If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.


Your job.


Live your passion for software development in exciting customer projects and be inspired by your colleagues’ enthusiasm.

As a full-stack software engineer with data engineering experience, you will cooperate with interdisciplinary teams in projects and experience how technology and team spirit unite to create innovative solutions.


Your job will involve working closely with clients to develop, test, and ship software that meets their needs.

You will efficiently and competently solve complex software challenges.

Continuous further development and active knowledge exchange mean that you will be working with the latest methods and tools to stay up to date with the latest trends.

Our reputation is fundamental to our business, so our culture emphasizes quality, reliability and respect.

We value learning new technologies and skills, thus, you will get a generous budget to attend conferences, participate in certified courses, and our annual technical camp is a lot of fun.


What’s Important to Us
Software Engineering Skills
You have a degree in computer science or a related field (bachelor's/master's).


You value high-quality code and want to improve and share your knowledge of the latest technologies every day.


You have at least 5 years of professional experience in the Python stack and a second stack in either Java or .NET.


You have multiple years of experience with state-of-the-art architectures and enjoy developing modern cloud native applications.


You have worked in web front-end development with frameworks like ReactJS or Angular, applying in-depth knowledge of JavaScript and/or TypeScript.


You have managed the lifecycle of full-stack applications, including CI/CD, automated testing frameworks, and vulnerability scanning tools.

Hands-on experience with infrastructure and platform is a plus.


You have strong communication skills and like making decisions.


You have experience effectively communicating with stakeholders outside of your team in agile environments.

Experience as team lead or Scrum Master is a plus.


Data & Analytics Engineering Skills
You have hands-on experience with Python libraries for large-scale data analytics, such as pandas, polars, duckdb, or PySpark.


You are comfortable conducting quantitative research and statistical analysis, applying computational methods to extract insights from complex data.


You have practical knowledge of ML and data science packages (e.g., scikit-learn, SciPy, NumPy, TensorFlow, PyTorch) and know how to integrate them into production-ready systems.


You bring strong foundations in quantitative computing concepts (optimization, probability, numerical methods, statistical inference).


You can bridge software engineering and data engineering, enabling end-to-end solutions that power both applications and advanced data insights.


What We Offer
Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home
Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year
Global and Diverse Zühlke community: witness how colleagues from all our 17 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.


Committed to development: we are committed to the growth of our people and are investing in your development.

We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.


If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!
We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.


Seniority level
Seniority level Mid-Senior level
Employment type
Employment type Full-time
Job function
Job function Information Technology
Industries IT Services and IT Consulting
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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 Zühlke Group 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 Senior/Lead Python & 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 Senior/Lead Python & Data Engineer?

Key qualifications for Senior/Lead Python & Data Engineer typically include Other General 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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To improve your chances of getting hired for Senior/Lead Python & 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 Senior/Lead Python & Data Engineer Job Success

Zühlke Group interview tips for Senior/Lead Python & Data Engineer

Here are some tips to help you prepare for and ace your Senior/Lead Python & Data Engineer job interview:

Before the Interview:

Research: Learn about the Zühlke Group'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.

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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 Senior/Lead Python & Data Engineer interview at Zühlke Group, 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 Zühlke Group'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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