Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Здесь сочетаются инженерия данных, руководство клиентскими проектами и развитие экспертизы, но зарплата не указана, требуется свободный французский, а разрешение на работу не оформляют.
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Свободный французскийБез визовой поддержкиЗарплата не указанаСовременный стекШирокая зона ответственностиОбучение и развитие
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer Consultant (Data Engineering/Cloud): Building scalable data pipelines and architectures for client solutions with an accent on cloud platforms, distributed systems, data modeling, and real-time integration. Focus on designing batch and streaming workflows, enabling CI/CD and DataOps practices, and leading complex client engagements from strategy through execution.
Location: Hybrid work in Luxembourg at Boulevard Royal 53, with office, home, and client-site arrangements.
Company
hirify.global is a global management consulting group combining strategy, management consulting, data science, creativity, and technology across multiple sectors.
What you will do
Lead client engagements and co-design data engineering solutions from strategy through execution.
Build scalable data pipelines and architectures for structured and unstructured data.
Design cloud and distributed data solutions using platforms such as Azure and frameworks such as Spark and Kafka.
Develop data models and optimize relational, NoSQL, time-series, and graph database solutions.
Implement batch, streaming, real-time integration, CI/CD, and DataOps practices.
Develop internal data engineering offerings, contribute to thought leadership, support business development, and mentor junior and mid-level consultants.
Requirements
Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, Engineering, or a related technical field with substantial programming.
3–6 years of relevant professional experience or equivalent academic research.
Experience or interest in Data Engineering, data, AI-related topics, and sectors such as Energy and Finance.
Indicative technology exposure includes Databricks, Snowflake, and Azure; client-specific stacks may vary.
Strong analytical, communication, presentation, stakeholder management, and problem-solving skills.
Fluent English and excellent French fluency are required.
Culture & Benefits
Flexible working arrangements across the office, home, and client sites.
International project exposure in a collaborative global environment.
Competitive salary package with annual salary increases and bonuses.
Flexible mobility options, including a company car or personalized mobility plan.
Tailored training and development opportunities.
Work permit sponsorship is not available for this position.
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