Data Engineer - A27006

Activate Interactive Pte Ltd

Singapore

On-site

SGD 90,000 - 150,000

Full time

30 hours ago
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Benefits offered by this job

Medical insurance
Flexible benefits
Wellness programs
Learning budget
Career progression
Flexible work arrangement

Job summary

Activate Interactive Pte Ltd is seeking a data engineer to join the Co-Development Business Unit for Singapore Government Agency projects. You will design and deploy data pipelines, integrate data sources, and develop backend APIs to support data-driven applications.

The role involves collaboration with cross-functional teams and hands-on experience in cloud-based data platforms. The position is a fixed-term contract (1 year) based in Singapore, offering a market-competitive compensation package

Qualifications

  • Experience with data engineering in big data environments using cloud platforms (AWS/Azure/Google Cloud).
  • Proficient in database design and various databases (SQL, PostgreSQL, MongoDB, MySQL, etc.).
  • Experience building production-grade data pipelines and ETL/ELT data integration.
  • Knowledge of system design, data structures, and algorithms.
  • Familiar with data governance, access control, and security best practices.

Responsibilities

  • Design, develop, and deploy data tables, views, and data marts across data warehouses and data lakes.
  • Build large-scale batch and real-time data pipelines with orchestration and processing frameworks.
  • Integrate and consolidate data silos in scalable, compliant ways.
  • Collaborate with project manager, data architect, analysts, frontend developers, and data analysts to build data-driven products.
  • Develop backend APIs and manage databases to support applications.

Skills

SQL
Python
ETL
Data pipelines
REST API
Cloud (AWS/GCP/Azure)
Data cleaning
Pair programming

Education

Bachelor's degree in Computer Science/Engineering or related

Tools

SSIS
AWS DMS
AWS Lambda
Spring
Hadoop
Spark
Kafka
CasperJS/ Selenium/ BeautifulSoup

Job description

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring

You will work in Singapore Government Agencies

Internal Code: A27006

This is a fixed term contract role. The engagement is 1 year.

What will you do?

  • Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
  • Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction.
  • Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
  • Integrate and collate data silos in a manner which is both scalable and compliant.
  • Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable datadriven products.
  • Be responsible for developing backend APIs & working on databases to support the applications.
  • Work in an Agile Environment that practices Continuous Integration and Delivery.
  • Work closely with fellow developers through pair programming and code review process.
  • Proficient in general data cleaning and transformation (e.g. SQL, pandas, R, etc) to ensure data accuracy and consistency.
  • Proficient in building ETL pipeline (eg. SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda,
  • ECS Container task, Eventbridge, AWS Glue, Spring).

What are we looking for?

  • Proficient in database design and various databases (e.g. SQL, PostgreSQL, AWS S3, Athena, mongodb, postgres/gis, mysql, sqlite, voltdb, cassandra, etc).
  • Experience in cloud technologies such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
  • Experience and passion for data engineering in a big data environment using Cloud platforms such as GPC, GCC (i.e. AWS, Azure, Google Cloud).
  • Experience with building production-grade data pipelines, ETL/ELT data integration.
  • Knowledge about system design, data structure and algorithms.
  • Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualisation and Data Warehouse for efficient storage and retrieval.
  • Familiar with rest api and web requests/protocols in general.
  • Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka,RabbitMQ).
  • Familiar with W3C Document Object Model and customized web scraping (e.g. BeautifulSoup, CasperJS, PhantomJS, Selenium, Nodejs, etc).
  • Familiar with data governance policies, access control and security best practices.
  • Comfortable in at least one scripting language (eg. SQL,Python).
  • Comfortable in both windows and linux development environments.
  • Interest in being the bridge between engineering and analytics.

What do we offer in return?

Competitive Compensation:Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.

Benefits:Outpatient medical, specialist medical coverage and generouscustomisableflexi benefits, or flexi allowance; life and health insurance, thoughtfulperkslike special occasions “red packet” and CNY goodies, etc.

Employee Wellness:Support foryour physical, mental, and overall well-being through year-round initiatives.

Growth & Development:Learningprogrammes, certification support, and a dedicated staff development budget. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Career Progression:Structured career pathways that enable you to grow along a technical/domain expert track ora leadershiptrack.

Competency Framework:A structured and practical framework to support you to develop, perform, and succeed.

Flexible Work Arrangement:Staff may choose to work flexi-place,flexi-time, and flexi-load based on existing framework

Whyyou'lllove working with us?

If you are looking for opportunities to collaborate with leading industry experts andbesurrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. Webelieveyour success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit,qualificationsand abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practiceson the basis ofrace,colour, religion,gender, sexuality, national origin, age, disability, maritalstatusor any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive PteLtd’srecruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) toknowmore about how we collect, use, and transfer the personal data of our candidates. Here you can find how you canrequest foraccess,correctionand/or withdrawal of your Personal Data.

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