4 дня назад
Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (AI) (Data Architecture/Pipelines): Designing and implementing scalable data architectures and pipelines for enterprise clients with an accent on cloud platforms, ETL processes, and AI-enabled data solutions. Focus on building reliable data platforms, guiding technical standards, and translating complex engineering requirements into business-focused solutions.
Location: Budapest, hybrid
Company
is a Growth Invention company operating at the intersection of technology and marketing, delivering data, AI, commerce, media, CRM, and technology services for global brands.
What you will do
- Design and implement scalable, reliable data architectures and pipelines for enterprise clients.
- Deliver complex data engineering projects across the EMEA Data craft team.
- Maintain technical standards and best practices for data engineering.
- Collaborate with data strategists, consultants, data scientists, analysts, and client teams on integrated Data & AI solutions.
- Guide technical decision-making and contribute to technical roadmaps.
- Monitor emerging data engineering technologies and methodologies.
Requirements
- Extensive experience delivering complex data engineering initiatives.
- Deep expertise in data architectures, data pipelines, ETL processes, data modeling, governance, and quality.
- Hands-on experience with GCP, AWS, or Azure and their data services.
- Proficiency in Python, SQL, and orchestration tools such as Airflow or DBT.
- Experience with BigQuery, Snowflake, or Redshift.
- Excellent communication, critical thinking, and stakeholder-management skills; a Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Nice to have
- Experience working in an agency or consulting environment.
Culture & Benefits
- Flexible hybrid working policy.
- Benefits vary based on the country of application.
- Training, development, and certification opportunities.
- Supportive and inclusive working culture with a focus on collaboration and professional growth.
- Participation in annual Cares Month and community initiatives.
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