Who We Are

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts : We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

Who we are looking for:

The Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data.

You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake.

Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

You:

• Design, implement, and maintain data pipelines to support data integration and transformation.
• Collaborate with cross-functional teams to understand data requirements and deliver robust ETL processes.
• Work on data governance initiatives to ensure data quality, accessibility, and security.
• Develop and optimize data warehouses to support analytics and reporting needs.
• Assist clients in their digital transformation journey by migrating data to new technology stacks.
• Stay updated on emerging technologies and best practices in data engineering, machine learning, and AI.
• Implement and manage MLOps practices for deploying and monitoring data science and AI applications in production.
• Troubleshoot and resolve data-related issues in a timely manner.

Still you:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience in data engineering, with a focus on ETL, data pipelines, and data warehousing.
• Proficiency in programming languages such as Python, or Java.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark).
• Knowledge of machine learning and deep learning concepts.
• Familiarity with MLOps & AIOps practices and tools for deploying machine learning & AI models.
• Experience with relational and NoSQL databases.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Fluent in English and Cantonese

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race or ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other legally protected status.

Information provided by applicants will be for recruitment purpose within PALO IT and only the short-listed candidates will be contacted.

For further information on our company, please visit our website:

https://www.palo-it.com/en-hk/

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