Data engineer for AI and automation

DataChef is a fast-growing consultancy founded in the Netherlands in 2019 by former AWS managers, specializing in AI, IoT, and HyperAutomation solutions that deliver measurable business value. The company is experiencing strong growth, with 60% year-over-year expansion driven by client trust and successful implementations. DataChef operates with a long-term partnership mindset, planning over a 20-year horizon and focusing on sustainable, high-quality outcomes.

• design, build, and maintain scalable data pipelines and architectures that support analytics, AI, and automation initiatives for DataChef’s clients.
• modeling data, integrating diverse data sources, optimizing data workflows, and ensuring data quality, reliability, and security.
• collaborate closely with data scientists, cloud architects, and client stakeholders to translate business requirements into robust technical solutions
• contribute to best practices, documentation, and technical mentoring within the team.
• evaluating new tools and technologies, supporting solution deployments, and continuously improving data infrastructure performance and cost efficiency.

• Strong data engineering skills, including data modeling, ETL/ELT pipeline development, and working with batch and streaming data.
• Proficiency with modern data platforms and tools such as cloud data warehouses, data lakes, and orchestration frameworks (e.g., Airflow, dbt, Spark).
• Advanced programming skills in languages commonly used for data engineering (e.g., Python, SQL, Scala) and solid software engineering practices (testing, version control, CI/CD).
• Experience with cloud environments (preferably AWS, but also Azure or GCP) and related services for storage, compute, and data processing.
• Knowledge of analytics and AI/ML workflows, enabling effective collaboration with data scientists and ML engineers.
• Background in designing secure, reliable, and compliant data solutions, including monitoring, logging, and performance optimization.
• Excellent problem-solving, communication, and stakeholder management skills, with the ability to explain complex concepts to non-technical audiences.
• Experience in consulting or client-facing roles, including requirements gathering and translating business needs into technical designs.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

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