Data Engineer

Requirements

• Experienced in Big Data: 3+ years of experience working as a Data Engineer or in a similar role.
• Data & Engineering practices: You have a solid understanding of both Software and Data Engineering practices.
• Technical Super Star: Proficient in tools and languages such as: Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git.
• Clear Communicator: Able to effectively communicate complex data-related concepts and outcomes to a diverse range of stakeholders.
• Self-starter: Capable of identifying opportunities, devising solutions, and handling projects independently.
• Innovator: You have an experimental mindset with a 'launch fast and iterate' mentality.
• Data Culture Champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement.

What you'll be doing

• Collaborative Solution Development: Engage with a diverse range of stakeholders to understand their requirements and craft effective solutions.
• Quality Pipelines and Architecture: Design, develop, deploy, and operate high-quality production ELT pipelines and data architectures.
• Data Best Practices: Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability.
• High Quality Data and Code: Ensure data is accurate, complete, reliable, relevant, and timely.
• Performance Optimization: Identify and resolve performance bottlenecks in data pipelines and systems.

Perks and Benefits

• Culture that supports career growth and development
• Chance to work on innovative and ethical solutions
• Office-based role in Amsterdam