Senior Data Engineer

ResponsibilitiesDesign, develop and maintain data ingestion, integration and processing solutions.Build and maintain data products, data warehouse solutions and ETL/ELT processes.Develop scalable data solutions using Azure, Databricks, Apache Spark, Azure Data Factory and Delta Lake.Make technical and architectural decisions in collaboration with Product Owners and Architects.Ensure data quality, security, performance and solution stability.Collaborate with stakeholders, Data Stewards, architects and IT teams.Develop automated testing, CI/CD pipelines and deployment processes.Promote best practices and modern approaches to data engineering.RequirementsSeveral years of experience in Data Engineering and designing data products or data warehouse solutions.Strong expertise in Python and SQL.Expert knowledge of Apache Spark, Databricks and modern data processing architectures.Strong experience with Azure data services, including Azure Data Factory and Delta Lake.Good understanding of data modelling, ETL/ELT processes and data architecture.Strong understanding of Azure technology choices, costs and trade-offs.Experience with API development and integration is a plus.Knowledge of Master Data Management (MDM) is a plus.Strong communication and collaboration skills with both technical and business stakeholders.