Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В роли есть серьёзные задачи по архитектуре данных и работе с клиентами, но консалтинговый формат и обязательный нидерландский язык сужают круг подходящих специалистов, а проекты могут часто меняться.
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Клиентский консалтингСовременный стек данныхПонятные задачиНужен нидерландскийПоддержка развития
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Architect (Data Engineering): Designing scalable data architectures and pipelines for client engagements with an accent on cloud platforms, distributed systems, data modeling, and batch and real-time integration. Focus on delivering DataOps practices, advising stakeholders, developing data engineering offerings, and mentoring consultants.
Location: Hybrid, Amstelplein 1, Amsterdam, Netherlands; work takes place across the office, home, and client sites.
Company
hirify.global is a global management consulting group combining strategy, management consulting, data science, creativity, and technology across multiple sectors and services.
What you will do
Lead client engagements and co-design data engineering solutions from strategy through execution.
Build scalable data pipelines and architectures for ingesting, processing, and delivering structured and unstructured data.
Design cloud and distributed data solutions using platforms such as AWS, Azure, and GCP, and frameworks such as Spark and Kafka.
Develop data models and optimize relational, NoSQL, time-series, and graph database solutions.
Implement batch, streaming, and real-time data integration, as well as CI/CD and DataOps practices.
Manage stakeholders, advise middle and senior-level management, develop client relationships, and mentor junior to medior consultants.
Requirements
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, (Energy) Engineering, or a related technical field involving substantial programming.
3–6 years of relevant professional experience or equivalent academic research.
Proven interest in Data Engineering and a strong interest in data and AI-related topics.
Strong analytical and systematic problem-solving abilities.
Strong communication and presentation skills, including the ability to explain complex technical ideas to varied audiences.
Adaptability, fast learning ability, structured and proactive working style, and entrepreneurial drive.
Demonstrated stakeholder-management, team-guidance, mentoring, and professional-development capabilities.
Fluency in Dutch with excellent communication and presentation abilities.
Nice to have
Fluency in German or French.
Culture & Benefits
Competitive salary package with an annual salary increase, bonuses, and an NS Business Card.
Tailored training and development opportunities.
Flexible work across the office, home, and client sites.
International project exposure and a collaborative global environment focused on professional growth and knowledge sharing.
Work-permit sponsorship is not available for this position.
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