Senior Data Integration Engineer

We are seeking a highly skilled and motivated Senior Data Integration Engineer to join our team in building and maintaining effective technology solutions to support investment functions like trade flows, accounting, reconciliation, reporting, and automated batch scheduling workflows. This role involves deep collaboration with cross-functional teams and focuses on integrating financial data with platforms like Simcorp Dimension to drive operational excellence and business value. Responsibilities Collaborate with the Product Owner, Scrum Master, Subject Matter Experts, and Development team to analyze and refine user stories using Jira Design, develop, and implement robust and scalable software solutions for data integration leveraging a modern technology stack Actively engage in data configuration to support integration workflows and ensure accurate data flow across systems Present functional solutions during sprint showcases and effectively communicate the business value of delivered products Build and maintain CI/CD pipelines using BitBucket/GitHub and Bamboo to drive continuous delivery and improvement Develop SQL views, stored procedures, and functions to support database processes and ensure efficient data handling Implement ETL solutions using Python (Pandas/NumPy) and perform unit testing to maintain code quality Create and maintain data reporting visualizations through tools like Power BI (preferred) or Tableau to meet business insight needs Ensure adherence to Data Warehousing practices, including Dimensional Modeling (Kimball) and Data Extraction Utilities Facilitate integration of financial data into investment systems like Simcorp Dimension for accurate reporting and operations Act as an active contributor in an Agile scrum team to deliver iterative high-quality software solutions tailored to business needs Requirements Bachelor’s degree in a technical discipline or equivalent professional experience 3+ years of experience as a professional Data Engineer Expertise in SQL, including programming views, stored procedures, and functions Proficiency in Cloud platform technologies (AWS preferred), Python (ETL tools like Pandas/NumPy, unit testing), and data pipeline development Experience with business intelligence tools and reporting solutions like Power BI or Tableau Qualifications in CI/CD tools such as BitBucket/GitHub and Bamboo for seamless deployment processes Familiarity with Data Warehousing, Dimensional Modeling (Kimball), and data extraction techniques Background in investment or financial data integration to support reporting, calculations, and trading platforms Understanding of Agile software development practices, including sprint planning, retrospectives, and iterative delivery Nice to have Experience with financial systems, including investments accounting or general ledger structures Expertise in integrating large-scale financial investment or ERP systems (e.g., SimCorp Dimension, Investment Management Warehouse, or similar platforms) Knowledge of delivering data solutions via AWS resources (S3, Glue, Athena, Lambda), Snowflake, Snaplogic, and orchestration tools Showcase of successful Agile data solution implementations, adhering to methodologies like story sizing and collaborative teamwork within scaled frameworks