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Data Engineer (Databricks | PySpark | ADF | Airflow) Location:Lisbon (Hybrid/Remote options depending on profile) Type:Full-time, long-term We are looking for an experiencedData Engineerto join our growing data team and contribute to the design, optimization, and operation of scalable data platforms. You will work with modern data technologies, supporting complex business use cases and ensuring high-performance, reliable data pipelines. Key Responsibilities Databricks & Spark Optimize slow-running Spark jobs to improve performance and cost efficiency. Implement storage optimization usingDelta Lakefeatures such as Z-ordering and partitioning. Manage and fine-tune Databricks cluster configurations. Install and manage libraries across environments. Apply and maintainMedallion Architecture(Bronze, Silver, Gold layers). Translate complex business requirements into efficient data processing logic. PySpark & SQL Design efficient data transformations using PySpark. Apply partitioning and bucketing strategies for performance optimization. Handle skewed data and optimize large-scale joins. Develop complex joins, advanced SQL queries, and window functions. Use broadcast joins and repartitioning where appropriate. Work withCTEsand structured/semi-structured data, includingJSONformats. Perform detailed requirement analysis for complex business processes. Azure Data Factory (ADF) Develop, debug, and optimize ADF pipelines. Implement event-based triggers and incremental data loading strategies. Create and manageEDF pipelinesand orchestrate multiple dependent pipelines. Design reusable and generic ADF pipelines to support multiple use cases. Airflow Develop and maintain Airflow DAGs. Write custom operators and sensors. Implement dynamic DAGs. Handle task retries, failure scenarios, and recovery strategies. UseXComsfor inter-task data sharing. Requirements Proven experience as aData Engineerworking with large-scale data platforms. Strong hands-on experience withDatabricks, Spark, and PySpark. Solid knowledge ofDelta Lakeand data lake best practices. Experience withAzure Data Factoryfor pipeline orchestration. Strong experience withApache Airflow. Advanced SQL skills and strong understanding of data modeling. Ability to analyze complex business requirements and translate them into technical solutions. Strong problem-solving skills and attention to performance optimization. Nice to Have Experience with cloud platforms (Azure preferred). Knowledge of CI/CD for data pipelines. Experience working in Agile environments. Familiarity with data governance and data quality frameworks. What We Offer Opportunity to work on complex, high-impact data projects. Modern data stack and exposure to best-in-class technologies. Competitive salary and benefits package. Career growth, continuous learning, and technical development. Hybrid or remote working model (depending on location). How to Apply Send your CV toSubject:Data Engineer (Banking)