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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Engineer Consultant (Data Engineering/Cloud): Building scalable data architectures, pipelines, and integration solutions for client engagements with an accent on cloud platforms, distributed systems, data modeling, and DataOps practices. Focus on designing batch and real-time workflows, advising stakeholders, leading delivery, and mentoring consultants across data and AI-related projects.
Location: Hybrid work in Luxembourg, including office, home, and client sites.
Work permit sponsorship is not available for this position.
Company
hirify.global is a global management consulting group combining strategy and management consulting with data science, creativity, and transformation expertise.
What you will do
Lead client engagements and co-design data engineering solutions from strategy through execution.
Build scalable data architectures and pipelines for 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 integration patterns, plus CI/CD and DataOps practices.
Develop hirify.global's Data Engineering offerings, contribute to thought leadership and business development, 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 with substantial programming.
3–6 years of relevant professional experience or equivalent academic research.
Proven interest in Data Engineering and relevant sectors such as Energy and Finance.
Fluency in English with excellent communication and presentation abilities.
Fluency in French is required.
Strong analytical, structured, and systematic problem-solving abilities.
Strong communication, adaptability, entrepreneurial drive, stakeholder management, and mentoring skills.
Interest in data and AI-related topics and the ability to quickly build expertise in these areas.
Nice to have
Experience with client-dependent technologies such as Databricks, Snowflake, and Azure.
Culture & Benefits
Full-time employment in a collaborative global environment with international project exposure.
Flexible working arrangements across the office, home, and client sites.
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, with knowledge sharing and professional growth support.
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