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