Data Engineer

We are seeking a talented and driven Data Engineer to join our Insights, Digitalization & Analytics team. In this role, you will play a critical part in building scalable data infrastructure that supports analytics, machine learning, and actionable business insights.

What Youll Do:

• Design, develop, and maintain ETL/ELT pipelines, API endpoints, and data-driven applications across cloud (Microsoft Azure) and on-premise environments.

• Integrate diverse internal and external data sources, including web scraping of public data (with a strong focus on compliance).

• Monitor, optimize, and ensure the quality, performance, and availability of data through cleansing, transformation, and scalable architecture.

• Create and enhance interactive dashboards for business stakeholders, emphasizing usability and seamless integration with backend systems.

• Implement CI/CD pipelines and automate deployment processes for scalable data and ML/AI solutions.

• Collaborate closely with Data Scientists and software engineers to deploy, monitor, and maintain machine learning models in production.

What Were Looking For:

• Bachelors degree in Computer Science, Computer Engineering, or a related field (specialization in Software Engineering is a plus).

• 2-3 years of hands-on experience in data engineering or software development.

• Solid understanding of data warehousing, big data ecosystems, cloud platforms, and automation frameworks.

• Strong analytical and problem-solving skills with keen attention to detail.

• A collaborative mindset, excellent communication skills, and the ability to work effectively across teams.

• Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

• Self-motivated and enthusiastic about learning new technologies.

Technical Skills Required:

• Proficient in relational (MS SQL Server) and NoSQL databases; experience with ETL tools and Python-based pipelines (e.g., SSIS, Informatica IPC).

• Experience with Python web frameworks and tools (Flask, Requests) and web scraping libraries (BeautifulSoup, Scrapy).

• Advanced skills in Power BI, including DAX and Power Query.

• Familiarity with Microsoft Azure services such as Azure Data Factory, Data Lake, Azure SQL, and App Service; CI/CD experience using Azure DevOps.

• Knowledge of ML platforms and libraries (e.g., Azure AutoML, DataRobot, Scikit-learn, TensorFlow, PyTorch, Keras).

• Exposure to big data technologies and platforms like Hadoop, Hive, Spark, and Databricks is a plus.

Information :

• Company : Persolkelly
• Position : Data Engineer
• Location : Central Singapore
• Country : SG