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Data Engineer (Databricks + GenAI) Job Opening In Singapore, Singapore – Now Hiring Keyrus


Job description

Overview
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Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions.

With over 3,500 employees spread across 25 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.


As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise.

As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.


We are seeking a skilled and forward-thinking
Data Engineer
with strong experience in
Databricks
and exposure to
Generative AI (GenAI)
projects.

In this role, you will build and optimize data pipelines that serve as the foundation for our GenAI-powered solutions.


This is a unique opportunity to sit at the intersection of
modern data engineering and cutting-edge AI innovation , helping to bring scalable GenAI solutions to life.


Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL processes using
Databricks ,
Apache Spark , and
Delta Lake .


Develop and optimize data ingestion workflows for structured and unstructured sources (e.g., text, PDFs, APIs, logs).


Collaborate with AI/ML engineers to supply clean, ready-to-use data for
LLM fine-tuning ,
prompt engineering , and
embedding generation .


Build and monitor data workflows using
MLflow ,
Unity Catalog , and
Databricks Workflows .


Work with GenAI frameworks like
LangChain ,
LlamaIndex ,
OpenAI , or
Azure OpenAI
to integrate and operationalize LLM use cases.


Partner with stakeholders (Data Scientists, Product Managers, ML Engineers) to ensure data readiness for GenAI product development.


Required Skills & Experience
2+ years of experience as a
Data Engineer
or similar role.


Strong hands-on experience with
Databricks
(SQL, Spark, Delta Lake, MLflow).


Proven ability to build production-grade
data pipelines
and manage
large-scale data processing .


Exposure to
Generative AI
projects, such as: working with
LLMs
(OpenAI, Hugging Face, Cohere), building pipelines for
RAG ,
embeddings , or
chatbots , managing vector databases and LLM-related infrastructure
Strong proficiency in
Python
and SQL.


Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
Hospitals and Health Care
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Other General


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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

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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 Keyrus 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

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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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Interview Tips for Data Engineer (Databricks + GenAI) Job Success

Keyrus interview tips for Data Engineer (Databricks + GenAI)

Here are some tips to help you prepare for and ace your Data Engineer (Databricks + GenAI) job interview:

Before the Interview:

Research: Learn about the Keyrus'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.

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To prepare for your Data Engineer (Databricks + GenAI) interview at Keyrus, 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 Keyrus'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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