🤠 What You'll Be Doing

• Design, build, and maintain scalable and efficient data pipelines to support data ingestion, transformation, and storage
• Develop and optimize processes to ensure high-quality data availability for analytics and machine learning
• Collaborate with different stakeholders (data scientists, data analysts, product owners, etc.) to enable seamless data access and integration for advanced analytics
• Implement and manage data warehousing solutions, ensuring optimal performance and scalability
• Monitor and troubleshoot data pipelines to ensure reliability, performance, and data integrity
• Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure
• Automate data workflows and implement CI/CD practices for data engineering processes
• Ensure data security, compliance, and governance across all data systems
• Document data architectures, processes, and solutions for maintainability and knowledge sharing
• Stay up-to-date with emerging data technologies and tools to continuously improve data engineering practices

🤓 Skills & Qualifications

• 3+ years of experience as a Data Engineer or in a related role
• Strong programming skills in Python, SQL, and familiarity with big data tools (e.g., Spark, Hadoop)
• Able to use data automation tools (Databricks, MS Fabric)
• Strong understanding of data modeling, data governance, and data security best practices
• Ability to work with large datasets and optimize data processing for performance and scalability
• Fluent in FR or NL + strong command of English
• Passion for building robust, scalable, and efficient data solutions

😍 Movify Offers

• Exciting opportunities to work on cutting-edge data engineering projects
• A culture that values innovation, autonomy, and collaboration
• Structured trainings
• An agile and fast-paced environment
• A culture of empowerment, openness, and autonomy
• Room for personal development
• A competitive package
• A warmhearted team that cares for one another