Contract Data Engineer

Full Time

Kowloon Bay

clts04971

Posted on:

2025-11-28

Duties

Goal of the Project
- Implement a scalable cloud-based data platform to enable sustainable, reusable, secure, efficient ingestion, transformation, and storage of enterprise data across multiple sources.
- Improve data consistency, reliability and controlled accessibility by automating ETL/ELT workflows, enforcing data quality checks, and reducing manual intervention by 30–40%.
- Knowledge and experience of near real-time analytics capabilities to support business intelligence, predictive modeling, and faster decision-making for strategic initiatives.
Primary Responsibilities (Guideline: List core duties in at least 3-5 bullet points)
- Optimize, operate at scale and enhance cloud-based data platform on Microsoft Azure (incl DataBricks)
- Involve in cloud data platform enhancement project lifecycle with external vendor including design, development, testing, deployment, and documentation.
- Work with Data Analyst to perform data preparation, cleansing, build optimized data models and visualization in Power BI
- Perform proof of concept for cloud data products
Secondary Responsibilities (Guideline: List supporting tasks in bullet points)
- Validate data workflows and integration points through rigorous testing (e.g., pipeline validation, schema checks, and performance benchmarking) to ensure solutions meet business and technical requirements.
- Create operational playbooks and automation scripts to streamline deployment, monitoring, and troubleshooting, enabling efficient handover and long-term maintainability of data solutions.
- Document data pipeline architecture, deployment processes, and operational runbooks to support effective troubleshooting and post-go-live maintenance by internal teams
Additional Beneficial Data Knowledge:
- ERP
- CRM
- Marketing
- Asset Management
- Construction

Requirements

Mandatory (Essential)
- Bachelor’s degree in computer science, Information Technology, Data Science or related field.
- Related Certification in Cloud Data platform
- 3+ years of professional experience related to data platform
- Understanding of data lifecycle and governance principles (e.g., data quality, lineage, security, and compliance).
- Experience in Python, SQL, Spark, Azure Data Factory, Event Hub / Kafka / Event Messaging, Azure Data Lake Storage Gen2, Databricks, Unity Catalog, Power BI
- Experience in software development lifecycle (SDLC).
- Strong sense of responsibility, self-motivated, committed, strong analytical and problem-solving skills, good interpersonal & communication skills, team player.
- Fluency in English.
Good to Have (Desirable)
- Master's degree in a technical field.
- Databricks Certified Data Engineer Associate or Professional
- Prior work on scalable Data Platform implementations or data platform migrations (or 2-3 project-specific examples).
- Exposure to data monetization or advanced analytics use cases (predictive modeling, AI/ML pipelines).
- Knowledge of Data & Analytics Multi Tenancy, Data Lakehouse platform architecture, DataOps, MLOps, AIOps, ModelOps and FinOps.
- Contribute as a strong single contributor and have ability to manage junior data engineers.
- Ability to manage engineering tasks and contribute to planning for successful execution.
- Fluency in Cantonese / Mandarin.

If you are interested in this position, please email your resume, stating your current and expected salary along with your available date, to our Application Email Address:

applyjob@clts.com

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Application Deadline:

2025-12-27

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Contract Data Engineer

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