Job Title

Are you looking for your next Staff Data Engineering Permanent role within Banking? A leading banking client is looking for a Staff Data Engineer to join the ever evolving Business Banking portfolio. You will be joining highly driven DevSecOps engineers team who are designing, developing and delivering business critical features on key product that is part of the payment ecosystem. Were interested in hearing from people who Have solid hands-on experience in Cloudera Data Platform and large migration programs from on-prem to Cloud Are knowledgeable about Data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake Are passionate about building next generation Data platforms and Data pipeline solutions across the Bank Have got a proven track record of Agile delivery including leading and working on end-to-end delivery of project Are confident in their understanding of Data modelling, schema design, and Data architecture principles Are confident leading, directing, coaching and guiding engineers Pride themselves in driving pragmatic and fit for purpose solutions with high technical quality Have solid hands-on experience with building Spark-based pipelines Are pro-actively looking for ways to provide feedback and contribute towards Engineering and automation uplift to the Product. Are constantly thinking creatively and breaking boundaries to solve complex Data problems Have solid understanding of DevOps practices and tools for CI/CD (e.g., Github, Jenkins, Docker, Kubernetes)Are knowledgeable of Data governance practices, Data privacy regulations, and Security measures Tech skills: A broad range of tools, languages, and frameworks. (Don''t expect you to know them all but experience or exposure with some of these, or a willing to learn these skillsets (or equivalents) will set you up for success in this teamHadoop ecosystem (HDFS, MapReduce, YARN)Programming using Advanced SQLProficiency in Spark for large-scale data processingAWS Cloud services experience and certificationDeep understanding and experience (preferred) with Kafka for real-time data streamingDealing with complex File formats and structuresTraditional Data warehouse concepts (Facts/Dims, normalization).Event driven Data architectureApache IcebergMSK (Kafka)RedshiftGlue ETLS3 What you need to do now If you''re interested in this role, click ''apply now'' to forward an up-to-date copy of your CV, or call us now. If this job isn''t quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.2923123