20 часов назад
Data Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Architect (Cloud Data Engineering): Building robust, scalable data pipelines and architectures for structured and unstructured data with an accent on cloud platforms, distributed systems, data modeling, and real-time integration. Focus on designing Databricks, Snowflake, and Azure solutions, enabling DataOps and CI/CD practices, and leading client engagements from strategy through execution.
Location: Antwerp, Belgium; flexible work across the office, home, and client sites.
Company
is a global management consulting group combining strategy, management consulting, data science, creativity, and transformation expertise.
What you will do
- Lead client engagements and co-design data engineering solutions with stakeholders.
- Build scalable data pipelines and architectures for structured, semi-structured, and unstructured data.
- Design cloud and distributed data solutions using platforms such as Databricks, Snowflake, and Azure, with frameworks including 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, support business development, and mentor junior and medior consultants.
Requirements
- Completed WO Master's degree in Data Science, Econometrics, Applied Mathematics, Computer Science, Engineering, or a related technical field.
- 3–6 years of relevant professional experience or equivalent academic research.
- Proven interest and experience in data engineering, with strong analytical and systematic problem-solving abilities.
- Strong communication, presentation, stakeholder management, mentoring, adaptability, and entrepreneurial skills.
- Fluency in Dutch with excellent communication and presentation abilities.
- Work authorization is required; work permit sponsorship is not available.
Nice to have
- Fluency in German or French.
- Experience with Databricks, Snowflake, Azure, Spark, or Kafka.
- Interest in data and AI-related topics.
Culture & Benefits
- Competitive salary package with annual salary increases, bonuses, and a company car or mobility budget.
- Hospital insurance and other employment benefits.
- Tailored training and development opportunities.
- Flexible working arrangements and international project exposure.
- Collaborative environment focused on professional growth and knowledge sharing.
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