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Data & AI Senior Engineer Job Opening In Singapore, Singapore – Now Hiring OMRON Industrial Automation APAC


Job description

Job description:

Seeking a skilled Data Engineer to lead Snowflake-based solutions supporting AI and Data initiatives.

This role drives scalable infrastructure, legacy data warehouse migration, and robust ETL/ELT pipelines.The ideal candidate will have hands-on experience implementing Snowflake Data Cloud, strong ETL/ELT capabilities, and a proven ability to collaborate with business stakeholders.

The engineer ensures secure, high-performance architecture aligned with AI workflows, while enforcing governance, quality, and seamless integration across platforms.

Design Responsibilities:

  • Analyse internally and externally sourced raw data to generate BI and Advanced Analytics datasets based on stakeholder requirements.

  • Design scalable data pipelines to curate sourced data into the in-house data warehouse.

  • Develop data marts to facilitate dataset consumption by business and IT stakeholders.

  • Propose data model changes that align with in-house data warehouse standards.

  • Define and execute migration activities from legacy databases to the Snowflake-based data warehouse.

  • Implement and manage Snowflake governance (access control, data security, usage monitoring).

  • Support AI use cases through data preparation and integration.

  • Collaborate with cross-functional teams to deliver data-driven solutions.

Engineering Responsibilities:

  • Data Pipeline Development: Design and implement ETL/ELT processes for AI and ML models.

  • Infrastructure Management: Select and manage cloud-based data storage solutions.

  • Model Deployment Support: Prepare datasets and environments for training and deploying AI models.

  • Real-Time Analytics: Handle unstructured data and support real-time data processing.

  • AI-Specific Tools: Work with vector databases, LLM pipelines, and frameworks like TensorFlow or PyTorch.

Collaboration & Governance

  • Collaborate with data scientists, ML engineers, and business stakeholders.

  • Ensure data governance, security, and compliance.

  • Monitor and optimise AI model performance.

REQUIREMENTS:

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related quantitative discipline.

  • 4–5 years of hands-on experience implementing Snowflake data cloud in a production environment.

  • Strong expertise in ETL/ELT tools and frameworks (e.g., AWS Glue, dbt, Talend, Informatica).

  • Experience with MLOps tools like MLflow, Docker, and LangChain.

  • Proven experience in data warehouse migration and cloud data architecture.

  • Solid understanding of data modelling, SQL, and BI/Analytics concepts.

  • Experience working closely with business teams to deliver data solutions aligned with strategic goals.

  • Familiarity with Snowflake governance best practices.

  • Certified in SnowPro Data Engineer.

  • Deep knowledge of Snowflake performance optimisation, governance, and security.

  • Experience with cloud technologies such as AWS RDS, AWS Fargate, AWS S3 and Azure .

  • Familiarity with PostgreSQL, MS SQL, and other relational databases.

  • Strong programming skills in Python and/or Java.

  • Understanding of LLMs, RAG pipelines, and generative AI deployment..

  • Strong problem-solving and analytical thinking.

  • Excellent communication and stakeholder engagement skills.

  • Ability to work independently and manage multiple priorities.

  • Proactive mindset with a focus on continuous improvement.

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Data & AI Senior Engineer Job?

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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 OMRON Industrial Automation APAC 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 & AI Senior 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.

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Key qualifications for Data & AI Senior 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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Interview Tips for Data & AI Senior Engineer Job Success

OMRON Industrial Automation APAC interview tips for Data & AI Senior Engineer

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

Before the Interview:

Research: Learn about the OMRON Industrial Automation APAC'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 & AI Senior Engineer interview at OMRON Industrial Automation APAC, 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 OMRON Industrial Automation APAC'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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