29 days ago
Budapest, HungarySenior
Responsibilities
- Architect and create data pipelines, data platforms, and data warehouses on Google Cloud Platform.
- Act as a trusted Google Cloud technical consultant and trainer for client technology teams.
- Join client engineering teams to implement relevant new engineering practices.
- Lead data teams, mentor engineers, and provide technical guidance to clients’ engineers.
- Own the end-to-end development lifecycle and support stakeholder management and conflict resolution.
- Deliver presales activities and proof-of-concepts.
Requirements
- At least 6 years of hands-on coding experience with Java or Python and SQL.
- At least 3 years of experience working with Google Cloud Platform, or relevant Professional Google Cloud certifications.
- Strong hands-on knowledge of BigQuery, Kubernetes, Airflow or Cloud Composer, and dbt Core.
- Current experience using agentic AI tools to build software solutions.
- Experience in telecommunications, banking, or financial services is required.
- Strong communication skills in English and Hungarian.
- Technical leadership, mentoring, client guidance, and collaborative team skills.
Benefits
- Hybrid work opportunities with 2–3 days from the office.
- Flexible working hours.
- Financial initiatives supporting physical and mental health and green commuting.
- Employee counseling with coaches and contracted psychologists.
- Continuous training, yearly allocated learning hours during working time, and dedicated mentorship.
- Career development opportunities, regular feedback, and opportunities to mentor junior and mid-level colleagues.
- Social activities, team events, professional meetups, sports events, and company-wide knowledge sharing.
Tech Stack
Categories
Data Engineering
About Aliz
Aliz provides cloud, data, and machine-learning consulting and implementation on Google Cloud for enterprises. The privately held firm, founded in 2009 and headquartered in Budapest, is a Premier Google Cloud partner with offices in Singapore, Berlin, and Jakarta. It builds scalable applications, data platforms, and analytics/ML pipelines, serving sectors such as airlines, retail, and telecom across Europe and Asia.