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Aliz

Cloud ML and data solutions provider

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listedHybrid

About the Job

Requirements

  • Have at least 6 years of hands-on coding experience with Java or Python and SQL.
  • Have working experience with a major cloud provider such as Google Cloud Platform, Azure, or AWS.
  • Be very comfortable with modern cloud data warehouses such as BigQuery, Snowflake, Redshift, or Synapse; orchestration tools such as Airflow, Cloud Composer, or MWAA; and dbt Core.
  • Have hands-on, up-to-date knowledge of using agentic AI tools to build software solutions.

Responsibilities

  • Guide the company’s engineers and clients’ engineers on their cloud journey using technical leadership skills.
  • Guide the data team in agile practices.
  • Communicate efficiently with a focus on conflict resolution and stakeholder management while representing a holistic approach to project delivery.
  • Provide technical leadership and mentorship.
  • Be responsible for the end-to-end development lifecycle.
  • Conduct presales activities and deliver proof-of-concept solutions.
  • Architect and create data pipelines, data platforms, and data warehouses on Google Cloud Platform.
  • Serve as a Google Cloud Platform technical consultant and trainer for clients’ technical teams.
  • Join clients’ engineering teams and implement relevant new practices.

About the Company

Aliz

Cloud ML and data solutions provider

Aliz helps businesses move to the cloud and unlock value from data by using Machine Learning and data solutions powered by Google Cloud. The company pairs a dedicated team with a strong Google partnership to access the latest technologies and deliver tailored analytics, data warehousing, and ML solutions that turn data into actionable insights, forecasts, and optimized operations. Compared with competitors, Aliz positions itself as the only Premier Google Cloud partner in the Central and Eastern Europe region, emphasizing a direct link to Google’s ecosystem and a track record with high-profile clients like airlines, retailers, and telcos. The overall goal is to enable clients to migrate to the cloud, automate processes, and increase ROI by leveraging data and ML capabilities.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Budapest, Hungary
Founded
2019

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