DATA ENGINEER
At a glance
Mid-level Data Engineering role at CHARLES & KEITH Group. Singapore · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL pipelines that combine structured and unstructured data from different sources
- Automate data workflows to move information efficiently between platforms
- Turn analysts’, data scientists’ and business stakeholders’ needs into technical pipeline, storage and processing plans
- Document pipelines, warehouse structures and governance practices, and work with security teams on data privacy and protection
What you bring
- You have two to three years of data engineering experience, including practical work with big data warehouses
- You hold a bachelor’s or master’s degree in computer science, data engineering or another related field
- You have hands-on experience with at least one listed cloud platform
Who this fits
This mid-level role suits someone who collaborates across technical and business teams. It is based in Singapore.
From the employer
We're on the lookout for individuals who are passionate about fashion, think outside the box, and have an eye for innovation.
Unleash your potential with us, and join us as we create joy and excitement in our global community to empower people to express themselves freely through fashion.
Job Overview:
We are looking for a talented and motivated Data Engineer with 2–3 years of experience to join our team. The ideal candidate will have hands-on experience in building and maintaining data pipelines, working with cloud platforms (Alicloud, AWS, Microsoft Azure, or Google Cloud Platform), and ensuring efficient data integration, storage, and accessibility.
Responsibilities:
1. Data Pipeline Development
- Design, develop, and maintain scalable and reliable ETL (Extract, Transform, Load) pipelines to integrate structured and unstructured data from various sources
- Automate data workflows and ensure efficient data movement across platforms
2. Collaboration and Team Management
- Work closely with data analysts, data scientists, and business stakeholders to understand data needs and provide tailored data solutions
- Translate business requirements into technical specifications for data pipelines, storage, and processing solutions
3. Data Governance and Compliance
- Maintain clear and comprehensive documentation for data pipelines, data warehouse structures, and data governance practices
- Ensure compliance with data governance policies and standards for data security and privacy, working closely with security and governance teams
Requirements:
- Bachelor’s degree or Master’s in Computer Science, Data Engineering, Information Technology, or a related field
- 2-3+ years in data engineering, with strong hands-on experience in big data warehouse
- Team player with strong collaboration skills, able to work effectively with both internal and external teams
Notify us about your interest in potential future opportunities by clicking Get Started below. Alternatively, you can create an account by clicking Sign In at the top of the page, allowing you to set up email alerts for new job postings that align with your preferences.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.