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Data & AI Engineer Job Opening In Singapore, Singapore – Now Hiring Zurich Insurance


Job description

Overview
Join to apply for the
Data & AI Engineer
role at
Zurich Insurance .


The Opportunity
We are seeking a skilled Data & AI Engineer to join our Data & Digital team.

This role focuses on enhancing and maintaining data platform architecture, operationalizing Generative AI solutions, and implementing automation solutions.

This individual must be self-directed and comfortable in addressing the data needs of multiple teams, systems, and products.

The right candidate will be enthusiastic about the opportunity to optimize or even redesign the data architecture to support the next generation of products and data initiatives.

The expertise of the Data & AI Engineer is crucial in building a robust data & AI infrastructure so that all stakeholders have seamless access to reliable and accurate data.


Your Role
Core responsibilities will include:
Delivering solutions using advanced techniques in data modeling, ETL, data visualization, and more to derive insights from both structured and unstructured data.


Maintaining, reviewing, and supporting the development of automation solutions.


Integrating, consolidating, cleansing, and structuring large data sets to facilitate business insights and reporting.


Designing, implementing, and maintaining data pipelines for data ingestion, processing, and transformation in Azure Cloud.


Proactively understanding business requirements and translating them into superior software implementations using an agile approach.


Collaborating with data scientists and analysts to understand data needs and operationalize GenAI use cases and automation.


Set up robust cloud infrastructure to enable reliable and scalable deployment of AI/ML solutions in production.

Deploy models as APIs or microservices to integrate seamlessly with existing applications, applying MLOps and DevOps best practices.


Utilizing Databricks, Azure Data Factory, or similar technologies to create and maintain ETL operations, including data quality checks.


Enhancing the scalability, efficiency, and cost-effectiveness of data pipelines.


Monitoring and resolving data pipeline issues to ensure data consistency and availability, while working towards improving data quality.


Defining and implementing data governance processes.


Your Skills And Experience
Approximately 8+ years of experience in a Data Engineer role with a degree in Computer Science, Data Science, Information Systems, or a related field.


Advanced working knowledge of SQL and experience with relational databases.


Experience in building and optimizing 'big data' pipelines, architectures, and datasets.


Experience in incremental loading, ETL jobs operationalization, Data Migration.


Proven history of manipulating, processing, and extracting value from large datasets, including building processes for data transformation, data structures, metadata, dependency, and workload management.


Working knowledge of Master Data and Reference Data Management.


Working knowledge of Data Modeling.


Experience in developing and integrating Power BI reports and dashboards.


Experience in supporting and collaborating with cross-functional teams in a dynamic environment.


Working knowledge of building user interfaces using web technologies.


Experience with the following software/tools:
Azure cloud services - Microservices, APIs, Function, Databricks, ADF, LogicApp, AI Foundry.


Relational SQL and NoSQL databases.


Data pipeline and workflow management tools: Control-M, Airflow.


Basic understanding of stream-processing systems: Storm, Spark-Streaming.


Object-oriented/scripting languages: Python, pySpark, Java, Scala.


Web technologies: Streamlit, React.js, HTML, etc.


Basic knowledge of Data Science, LLMs, operationalization of AI solutions.


Strong problem-solving abilities.


Excellent verbal and written communication skills.


Company
At Zurich, we value experience and know-how and offer opportunities across business areas.

We are committed to attracting and retaining talented individuals from a variety of backgrounds and experiences.

Let’s continue to grow together!
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: General Business
Industries: Insurance and Financial Services
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

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Are You Looking for Data & AI Engineer Job?

Great news! is currently hiring and seeking a Data & AI 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 Zurich Insurance 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 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 & AI Engineer?

Key qualifications for Data & AI 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 Engineer Job Success

Zurich Insurance interview tips for Data & AI Engineer

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

Before the Interview:

Research: Learn about the Zurich Insurance'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 Engineer interview at Zurich Insurance, 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 Zurich Insurance'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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