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10,000+

Quality Control jobs in Singapore

Lead Data Engineer

Aon Corporation

Singapore
Hybrid
SGD 100,000 - 140,000
30+ days ago
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Electrical Engineering Lead - GMP Maintenance & Fire Alarm

LONZA BIOLOGICS TUAS PTE. LTD.

Singapore
On-site
SGD 55,000 - 75,000
30+ days ago

Marketing Senior Manager, Strategic & Growth Campaigns

Aon Corporation

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago

Corporate F&B Manager (up to $9,000 base | Central | Immediate Starter)

Tyson Jay

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago

Consultant, Client Services Support, Health Solutions Singapore (6 Month Contract, Non-Regulated)

Aon Corporation

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago
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Customer Service Associate (B2B & B2C)

ADDX

Singapore
On-site
SGD 40,000 - 60,000
30+ days ago

R&D Engineer - JY

PASONA SINGAPORE PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Assistant Course/Program Director

STAG MATCH INSTITUTE PRIVATE LIMITED

Singapore
On-site
SGD 70,000 - 95,000
30+ days ago
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Fitness Centre & Spa - Spa Receptionist (Hotel)

THE RITZ-CARLTON, MILLENIA SINGAPORE

Singapore
On-site
SGD 20,000 - 60,000
30+ days ago

Institute of Higher Learning Course / Program Director

STAG MATCH INSTITUTE PRIVATE LIMITED

Singapore
On-site
SGD 100,000 - 125,000
30+ days ago

Assistant Vice President, Global Threat Hunting

MUFG Bank, Ltd

Singapore
On-site
SGD 100,000 - 150,000
30+ days ago

IT Business Analyst

THE EDGE CONTRACTING SERVICES PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Class 3 Delivery Driver (Logistics Company) | East Side

RECRUIT LYNC PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
30+ days ago

Contract Manager (M&E) | 5 days

RECRUIT LYNC PTE. LTD.

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

Operations Program Manager

Advanced Energy

Singapore
Hybrid
SGD 115,000 - 155,000
30+ days ago

Procurement Executive / Senior Executive

The Talent People

Singapore
On-site
SGD 60,000 - 80,000
30+ days ago

B1 Aircraft Maintenance Technician

Jet Aviation

Singapore
On-site
SGD 20,000 - 60,000
30+ days ago

Technical Lead

Snaphunt

Singapore
Hybrid
SGD 100,000 - 130,000
30+ days ago

Quality Assurance Lead: ISO & Audit Excellence

ABSOLUTE KINETICS CONSULTANCY PTE LTD

Singapore
On-site
SGD 50,000 - 80,000
30+ days ago

Associate Director- Model Build

Gridlines

Singapore
On-site
SGD 80,000 - 120,000
30+ days ago

On-Site Electrical & Communications Installation Lead

ALTROCKS TECH PTE. LTD.

Singapore
On-site
SGD 50,000 - 70,000
30+ days ago

Senior Director/Director, Quality | EMS | JIAW (BH ID: 691206)

PERSOL

Singapore
On-site
SGD 100,000 - 130,000
30+ days ago

Operations Program Manager

Advanced Energy Industries, Inc.

Singapore
On-site
SGD 115,000 - 155,000
30+ days ago

(B2C) Business Development Senior Executive | Lighting Industry | 5 days

RECRUIT LYNC PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
30+ days ago

Class 4 Delivery Driver (Logistics Company) | East Side

RECRUIT LYNC PTE. LTD.

Singapore
On-site
SGD 20,000 - 60,000
30+ days ago

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Lead Data Engineer
Aon Corporation
Singapore
Hybrid
SGD 100,000 - 140,000
Full time
30+ days ago

Job summary

A global professional services firm based in Singapore is seeking a Lead Data Engineer to design and implement scalable data architectures. The successful candidate should have over 8 years of experience working with data integration teams and 4+ years of in-depth experience with Databricks and Apache Spark. This is a unique opportunity to collaborate with cross-functional teams in a diverse and inclusive environment that promotes employee wellbeing and continuous learning.

Benefits

Comprehensive benefits package
Global Wellbeing Days
Flexible working environment

Qualifications

  • 8+ years of experience working with data integration teams.
  • 5+ years of experience in data architecture, database design, and data management.
  • 4+ years developing data pipelines within an Apache Spark environment.

Responsibilities

  • Collaborate with cross-functional teams to deliver projects.
  • Design and implement scalable data architectures.
  • Define standards for Spark-based ETL/ELT Development.
  • Drive automation and infrastructure-as-code practices.

Skills

Databricks
Apache Spark
Pyspark
Python
SQL
Data modelling
Data warehousing
ETL/ELT processes
Cloud platforms (AWS or Azure)
BI tools (Power BI or Tableau)
Job description
Lead Data Engineer

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

Aon’s breadth of product offerings and global reach give us massive access to data and information, which in turn provides a unique opportunity to innovate and build and differentiating solutions for clients. But for Aon to capitalize on these opportunities, it requires a globally coordinated effort, an effort that the Aon Centre for Innovation and Analytics (ACIA) in Singapore is heavily investing towards.

What the day will look like
  • Collaborate with teams of experienced actuaries, data analysts, architects, data engines, and business experts to deliver projects.
  • Design and implement scalable data architectures that align with business objectives, including data models, meta data management, and database schemas.
  • Define standards, frameworks, and best practices for Spark-based ETL/ELT Development.
  • Drive automation and infrastructure-as-code practices (e.g., Terraform, Databricks CLI/API).
  • Perform data analysis to troubleshoot and resolve data-related issues.
  • Implement data warehouse and lake house solutions to support data and analytics initiatives.
  • Assist in the support and enhancements of existing data pipelines and databases and troubleshoot performance issues.
  • Participate in database design and modelling.
  • Provide technical leadership and guidance to the data engineering team in implementing architectural designs.
  • Work closely with cross‑functional teams to understand business requirements and translate them into scalable and efficient data solutions.
  • Stay current with industry trends and emerging technologies to drive continuous improvement in data architecture strategies and best practices.
How this opportunity is different

We are seeking a highly skilled Lead Data Engineer with deep expertise in Databricks and Apache Spark to lead the design and implementation of data architectures that support our data‑driven initiatives. This role is perfect for someone who is a great team mate, keen to learn new skills, and has a meticulous eye for data. You will work with a team of experienced actuarial analysts, architects, developers, and business resources to build databases, warehouses, and ETL/ELT pipelines to fuel modern web applications and visualizations.

Skills and experience that will lead to success
  • 8+ years of total experience working with data integration teams.
  • 5+ years of experience in data architecture, database design, and data management.
  • 4+ years of in‑depth experience developing data pipelines within an Apache Spark environment (preferably Databricks).
  • 3+ years of active hands‑on work with Databricks, demonstrating in‑depth experience.
  • Strong hands‑on knowledge of Pyspark, Python and SQL and distributed computing principles.
  • Experience in tuning spark jobs for performance and cost, addressing complex issues such as data skew, shuffle inefficiencies, and memory leaks, etc.
  • Strong knowledge of data modelling, database technologies, data warehousing.
  • Experience with ETL/ELT processes and tools.
  • Knowledge of cloud platforms (Aws or Azure) and big data technologies (Hadoop, Spark, etc.).
  • Understanding of data governance, security, and privacy frameworks.
  • Experience with BI and analytics tools like Power BI or Tableau.
  • Excellent communication skills, with the ability to convey complex technical concepts to both technical and non‑technical stakeholders.
Nice to haves:
  • Experience integrating AI into data engineering.
  • Certifications in Databricks, cloud computing or database management.
  • Experience developing data solutions using native IaaS and PaaS solutions on AWS (RDS, S3).
  • Experience in any object‑oriented programming language.
How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email ReasonableAccommodations@Aon.com

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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