Data Engineer

About the role

This Data Engineer position focuses on designing, developing and maintaining scalable data pipelines and architectures that support analytics and business intelligence initiatives. The role also covers data integration, ETL implementation and monitoring of data systems.

Key responsibilities

• Design, develop and maintain scalable data pipelines and architectures for analytics and business intelligence.
• Integrate data from multiple sources, ensuring consistency, reliability and data quality.
• Collaborate with data analysts, scientists and other stakeholders to define data requirements and optimise data workflows.
• Implement ETL (Extract, Transform, Load) processes for structured and unstructured data.
• Monitor and troubleshoot data systems to ensure performance, security and efficiency.
• Document data processes, system configurations and best practices.

Required profile

• Bachelor's degree in Computer Science, Data Engineering, Information Systems or a related field.
• Proven experience with SQL, Python and data pipeline frameworks.
• Strong understanding of data warehousing concepts and cloud platforms (e.g. AWS, Azure or Google Cloud).
• Experience with big data technologies such as Spark, Hadoop or Kafka is an advantage.
• Excellent problem-solving, analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

What we offer

• Competitive salary and performance-based incentives.
• Opportunities for professional development and technical training.
• Innovative and collaborative work culture.
• Flexible or hybrid working arrangements.