CHARLES & KEITH Group Logo

CHARLES & KEITH Group

DATA ENGINEER

Posted One Month Ago
Be an Early Applicant
In-Office
Singapore, SGP
Junior
In-Office
Singapore, SGP
Junior
Build and maintain scalable ETL pipelines integrating structured and unstructured data. Automate data workflows, ensure efficient data movement, collaborate with analysts, scientists, and stakeholders, translate business needs into technical solutions, and maintain documentation and data governance compliance for secure, accessible data.
The summary above was generated by AI

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.

HQ

CHARLES & KEITH Group Singapore, Singapore, SGP Office

Singapore, Singapore

Similar Jobs

2 Days Ago
In-Office
Singapore, SGP
Senior level
Senior level
Financial Services
Build and maintain batch and streaming data pipelines, data models, ingestion workflows, orchestration, cloud infrastructure, APIs, and AI knowledge-base integrations. Develop reliable datasets supporting banking use cases such as risk, fraud detection, customer engagement, and automation. Collaborate with engineering, AI, and business teams while contributing to monitoring, CI/CD, infrastructure management, RAG pipelines, and semantic search capabilities.
Top Skills: Amazon RedshiftApache AirflowApache FlinkApache KafkaSparkAws KinesisCi/CdCloud RunClouderaConfluentDagsterDbtDebeziumDockerEmbeddingsFivetranFlaskGa4Google BigqueryJavaKubernetesPub/SubPythonRagRedisRest ApisSemantic SearchSQLTerraformVector Databases
4 Days Ago
In-Office
Singapore, SGP
Junior
Junior
Gaming • Hardware
Build and maintain scalable big data systems, ETL/ELT pipelines, data lakes, warehouses, and cloud infrastructure supporting analytics and AI. Responsibilities include managing schemas and data workflows, monitoring and troubleshooting pipeline failures, implementing streaming and batch processing, optimizing data quality and storage, and collaborating with data scientists, analysts, engineers, and business stakeholders. The role also uses automation, CI/CD, infrastructure as code, containerization, and orchestration tools.
Top Skills: Apache AirflowAws RedshiftAzure Data LakeBigQueryBitbucket PipelinesCi/CdData LakesData WarehousesDbtDockerGitKubernetesNoSQLPythonSnowflakeSQLTerraformVector Databases
10 Days Ago
In-Office
Singapore, SGP
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads advanced data analytics and AI/ML initiatives for HBM semiconductor products. Develops machine learning, deep learning, anomaly detection, screening, and deviation-monitoring solutions to improve yield, quality, reliability, and engineering efficiency. Strengthens analytics infrastructure and visualization workflows while collaborating across manufacturing, design, technology development, product engineering, and quality teams. Provides technical leadership, mentorship, and innovation guidance for AI-enabled engineering practices.
Top Skills: Artificial IntelligenceDeep LearningMachine LearningPower BIPythonTableau

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account