Senior Data Engineer

📋 Description

• Architecting and delivering large-scale, cloud-native data solutions
• Developing and implementing complex data pipelines and data warehouse solutions
• Working with Databricks, Spark, PySpark and Delta Lake on data warehousing and lakehouse solutions
• Applying MLOps skills, ideally with MLflow for model management and deployment
• Utilizing strong knowledge of AWS, with additional Azure experience advantageous for multi-cloud
• Coding in Python, SQL and Scala

🎯 Requirements

• 10+ 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