Senior Data Engineer with Python and Databricks

📋 Description

• Work together with data scientists and analysts to understand the needs for data and create
• Solution design, implement, and maintain data pipelines for data ingestion, processing, and
• Create and maintain data solutions in Azure, using any of the following: Data Factory, Synapse
• Implementing data validation and cleansing procedures will ensure the quality, integrity, and
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.

🎯 Requirements

• Proficient in Python and SQL
• Knowledge of good data design principles (concepts such as Kimball and Star Schema), data
• Strong experience with Relational and ideally NoSQL databases.
• Strong understanding of ETL/ELT processes.
• Exposure to data monitoring and observability tools.
• Relevant experience with Event-Driven Architecture

🎁 Benefits

• Finance: Competitive salary package, share plan, company performance bonuses, value-based
• Career Development: Career coaching, global career opportunities, non-linear career paths, internal
• Learning Opportunities: Complex projects, rotations, internal tech communities, training
• Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme
• Health: Global internal wellbeing programme, access to wellbeing apps
• Community: Global internal tech communities, hobby clubs and interest groups, inclusion and