Data Architect (Data Engineering)

Location: Amsterdam, Netherlands; flexible working 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 to support client transformation.

What you will do

• Lead client engagements and co-design data engineering solutions from strategy through execution.
• Build scalable data architectures and pipelines 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 together with CI/CD and DataOps practices.
• Contribute to internal offerings, thought leadership, business development, stakeholder management, and mentoring junior and medior consultants.

Requirements

• 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.
• Proven interest in data engineering and strong interest in data and AI topics.
• Experience or ability to work with technologies such as Databricks, Snowflake, and Azure; client-specific stacks may vary.
• Strong analytical, problem-solving, communication, presentation, and stakeholder-management skills.
• Fluency in Dutch with excellent communication and presentation abilities.

Nice to have

• Fluency in German or French.

Culture & Benefits

• Flexible working arrangements across the office, home, and client sites.
• International project exposure in a collaborative global environment.
• Tailored training and development opportunities.
• Competitive salary package with annual salary increases and bonuses.
• NS Business Card.

Hiring process

• Candidate-facing interview and assessment steps are not specified in the posting.