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Data & BI Engineer - Job Opening In Singapore, Singapore – Now Hiring DEEEPLABS PTE. LTD.


Job description

Roles & Responsibilities

About the Job


We are looking for a Data & BI Engineer to join our team.

This hybrid role covers the design, build, and maintenance of data pipelines, databases, and business intelligence solutions that power analytics, reporting, and AI-driven applications.

You will be responsible for end-to-end delivery — from ingestion and modelling to database administration and BI dashboards — ensuring secure, scalable, and high-quality data services across Azure, AWS and hybrid environments.

You'll collaborate closely with business analysts, product owners, BI developers and stakeholders to understand requirements and translate them into robust, actionable data and BI solutions.

This is a hands-on engineering and DBA role that requires strong technical expertise and excellent communication.

About the Opportunity


As a Data & BI Engineer at Deeeplabs, you will:

Data Engineering & Pipelines

  • Design, develop, and maintain ETL/ELT processes and data pipelines across on-premise, cloud, and hybrid environments (Azure Data Services, Databricks, SQL Server, AWS Data Services).

  • Integrate, transform, and cleanse data from multiple sources to create reliable datasets for analytics, dashboards, and AI/ML workloads.

  • Build and optimise relational and semantic data models to support BI tools such as Power BI and downstream analytics.

  • Implement and manage data security, including row-level security and compliance with organisational standards.

Database Administration (DBA)

  • Administer, configure, and maintain databases across Microsoft SQL Server, Oracle, Azure SQL, AWS RDS/Redshift, and other database services.

  • Monitor database performance, perform tuning and indexing, and ensure robust backup and recovery procedures.

  • Manage database security, user access, and auditing to comply with regulatory and organisational policies.

  • Plan and execute database upgrades, migrations, and patching with minimal downtime.

Business Intelligence (BI)

  • Design, develop, and maintain interactive dashboards, KPI scorecards, and visual reports in Power BI to deliver clear, actionable insights.

  • Optimise data models and measures (DAX) for high-performance reporting.

  • Collaborate with business analysts and stakeholders to translate business requirements into functional BI solutions.

  • Continuously improve and enhance existing BI systems based on evolving business needs and data sources.

Collaboration & Support

  • Work closely with cross-functional teams to test, deploy, and maintain data and BI solutions.

  • Monitor and troubleshoot production data workflows, databases, and BI reports for performance, access, and data accuracy, ensuring timely resolution.

  • Produce clear technical documentation (data model descriptions, ETL flow diagrams, data dictionaries, backup/recovery procedures, reporting methodology) to support ongoing knowledge sharing.

About You


The Essentials

  • Bachelor's degree in Computer Science, Statistics, Information Systems, or a related field.

  • 4+ years' experience in data engineering, data warehousing, or business intelligence development.

  • Strong SQL knowledge and experience with databases such as SQL Server, Oracle, Azure SQL, AWS RDS/Redshift.

  • Proven experience building ETL/ELT pipelines and data models in Azure Synapse, Databricks, AWS Glue or similar platforms.

  • Familiarity with Microsoft BI stack (Power BI, SSAS, SSRS, SSIS) and external tools (DAX Studio, Tabular Editor, ALM Toolkit).

  • Understanding of data warehousing concepts, semantic model design, BI development lifecycles, and performance tuning.

  • Experience with database administration, including performance tuning, backup/recovery, and security management.

  • Knowledge of orchestration tools (Power Automate, UC4 optional) and scripting (PowerShell, shell scripting optional).

  • Exposure to Microsoft ecosystem tools such as SSMS, SharePoint, and Azure DevOps.

  • Strong English communication skills, both written and verbal.

The Attributes

  • Excellent communication and stakeholder-management skills to translate business needs into technical solutions.

  • Exceptional analytical and problem-solving skills to convert data into actionable insights.

  • Ability to work in an agile, fast-moving environment with continual development and improvement.

  • Comprehensive understanding of data modelling, administration, and visualisation.

  • Awareness of emerging BI, data, and AI technologies and how they integrate into modern data platforms.

Tell employers what skills you have
Business Intelligence
Azure
Big Data
Pipelines
MySQL
Scripting
Customer Acquisition
SQL
Database Administration
Python
Statistics
Visualization
Power BI
Data Warehousing
Databases
Business Requirements

Required Skill Profession

Other General


  • Job Details

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The Work Culture

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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 & BI Engineer Job Success

DEEEPLABS PTE. LTD. interview tips for Data & BI Engineer

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

Before the Interview:

Research: Learn about the DEEEPLABS PTE. LTD.'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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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data & BI Engineer interview at DEEEPLABS PTE. LTD., 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 DEEEPLABS PTE. LTD.'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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