Senior Data Engineer

📋 Description

• Design, build and maintain scalable Databricks data pipelines to ingest, transform and deliver
• Develop and optimise ETL/ELT workflows and orchestration processes using tools such as Airflow to
• Manage and enhance cloud-based data platforms (AWS / Azure / GCP), focusing on performance
• Implement and maintain data quality, governance, lineage and monitoring frameworks using tools such
• Partner with business stakeholders, BI teams and engineering teams to design data models and

🎯 Requirements

• At least 5 years of experience in Data Engineering or a related field
• A minimum of 3 years of hands-on experience with Databricks in a production environment
• Strong expertise in cloud platforms (e.g. AWS, Azure, GCP), Data Lake technologies and Data
• Experience with data ETL tools and BI solutions (e.g., Airflow, PowerBI)
• Experience with data quality and governance tools (e.g., Atlan, Monte Carlo)
• Solid knowledge of data modelling concepts

🎁 Benefits

• An opportunity to join a fast-growing company
• Options for career advancement
• Learning and development opportunities
• Flexible working environment
• Competitive salaries based on experience