Data Engineer

Aliz is a global solution provider for the Google Cloud Platform (GCP), focusing on Europe and Asia. As a certified Google partner, we specialize in building scalable applications, IT infrastructures, big data, and machine learning solutions. With offices in Budapest, Berlin, Singapore, and Indonesia, we work on cutting-edge cloud solutions for a variety of industries.

Today, we are seeking a Medior Data Engineer to join our team and work directly with our key client in Taiwan. This role will require working from their Taiwan office, where you'll play a crucial role in building and maintaining Google Cloud-based solutions.

Are you also passionate about big data and the cloud? If yes, then keep reading.

This role will suit you if you

• believe that data is valuable.
• want to work with A+ colleagues and the region's most experienced GCP developers.
• have known for a long time why the cloud is the future, and you can’t understand why many people don’t see this yet.
• want to participate in spreading the cloud culture internationally.

Key responsibilities

• getting up to speed so that you’re confident about moving around with the Google Cloud Platform.
• participating in the creation of ETL processes and data warehouses on GCP platforms.
• supporting our customers' cloud transformation.
• solving seemingly unsolvable problems by using innovative cloud services and technologies.

About you

• You have at least 3 years of hands-on experience in Java and/or Python development.
• You possess strong SQL knowledge.
• You have a keen interest in the Big Data world.
• You approach your work with a systematic and quick-thinking mindset.
• You excel at creative problem-solving.
• You maintain a strong learning attitude.
• You have excellent communication skills in English and Mandarin.

Nice to have:

• Experience working in cloud environments.
• Familiarity with Big Data.
• Experience in data warehouse development and ETL processes.
• Knowledge of data visualization tools (e.g., Tableau, Qlik, Looker, etc.).

You will enjoy

• Using cutting-edge technologies and learning from top data and cloud experts.
• Career development opportunities with regular feedback and mentorship.
• Maintaining a healthy work-life balance with financial support for physical and mental health.
• A flexible, collaborative work environment offering a hybrid setup (2 days remote, 3 days in the office).
• Flexible working hours to adapt to your productivity peaks.
• Employee counseling opportunities, continuous training with allocated learning hours, and dedicated mentorship by experienced colleagues.
• Extended paternity leave.
• Engaging in social activities, including team-building events and professional meetups.
• Being part of a great community.