1 день назад
Data Architect (Data Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (Data Engineering): Designing enterprise data models, integration pipelines, and analytical data products across multiple value streams with an accent on data modelling, cloud platforms, and data governance. Focus on building scalable batch and streaming architectures, ensuring lineage and quality, and translating business requirements into resilient data solutions.
Location: Budapest, Debrecen, Pécs, or Szeged, Hungary. Remote work is available only within Hungary due to European taxation regulations.
Company
Large IT and telecommunications services provider and subsidiary of a major European telecommunications group, serving corporations across Germany and other European countries.
What you will do
- Design and maintain conceptual, logical, and physical enterprise data models.
- Lead data architecture for core platforms and define data standards, naming conventions, and modelling practices.
- Architect data pipelines and ETL/ELT integrations for batch, near-real-time, and streaming flows.
- Develop semantic and analytical data models for BI, reporting, and advanced analytics.
- Define data quality rules, validation frameworks, lineage, metadata, and governance processes.
- Facilitate architecture workshops and advise product, engineering, analytics, and business stakeholders.
Requirements
- 5+ years of experience in data architecture, data engineering, or a closely related role.
- Strong knowledge of relational, dimensional, and Data Vault modelling techniques.
- Hands-on experience with data integration tools or frameworks such as Kafka, dbt, Spark, or Talend.
- Understanding of AWS, GCP, or Azure data platforms and modern data stack components.
- Advanced SQL skills and familiarity with Python or Scala for data engineering.
- Ability to translate business requirements into scalable data architecture solutions.
Nice to have
- Experience with event-driven architectures, real-time data platforms, agile product organisations, or data mesh principles.
- Knowledge of data governance and metadata tools such as Collibra, Alation, or DataHub.
- Experience with Looker, Tableau, Power BI, or Metabase.
Culture & Benefits
- Collaboration across product, engineering, analytics, and business units.
- Opportunity to work across multiple value streams and business capabilities.
- Focus on reliable, discoverable, reusable, and well-documented data assets.
- Remote working possibility within Hungary.
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