4 of 4 Data Mart Jobs

Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. We are seeking a highly skilled and experienced Data Engineer to join our Core Systems team. The ideal candidate will have a proven track record of building and maintaining robust data products … data mart infrastructure within the AWS Redshift environment. This role is critical in empowering our organization with actionable insights through efficient and reliable data solutions. Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders. Data Mart ...

Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. We are seeking a highly skilled and experienced Data Engineer to join our Core Systems team. The ideal candidate will have a proven track record of building and maintaining robust data products … data mart infrastructure within the AWS Redshift environment. This role is critical in empowering our organization with actionable insights through efficient and reliable data solutions. Data Product Development: Design, develop, and deploy scalable data products that provide meaningful insights to business stakeholders. Data Mart ...

organisation, is seeking an experienced Senior ODI ETL & OAS/OBIEE BI Developer to support the design, development and ongoing management of enterprise banking data platforms. This is a hands-on senior role suited to a specialist with strong Oracle data warehousing, ETL and BI experience , combined with … banking domain knowledge , particularly across Oracle Flexcube, Oracle ERP , and ideally Finastra OPICS . You will play a key role in delivering high-quality data integration, reporting and analytics solutions that support retail banking, treasury and finance operations. Key Responsibilities Data Warehouse & Data Mart Management Design ...

Based) Experience Level: Lead/Senior (5+ years PySpark) Role Overview We are seeking a Lead PySpark Engineer to drive a large-scale data modernisation project, transitioning legacy data workflows into a high-performance AWS cloud environment. This is a hands-on technical role focused on converting legacy … Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean coding principles, modular design ...