Senior Full-Stack Software Engineer (Backend-focused) for Shift4’s Partner Portal team.
Compensation
The salary range for this position is starting at 5700-6500 Eur Gross. The exact salary will be determined based on the candidate’s experience.
Responsibilities
Collaborate cross-functionally with Business Analysts, QA, and other team members to achieve elegant solutions which satisfy business needs, goals, and objectives;
Work alongside other Software Engineers on the team to elevate technology and consistently apply best practices as they relate to the project and general software engineering concepts;
Participate in and make improvements in continuous improvement of development processes, technical solutions. Test code via unit, integration and acceptance testing techniques to ensure delivery and quality goals are met;
Diagnose and resolve issues with deployed systems using a variety of techniques including direct engagement with support personnel and customers;
The Senior FP&A Business Intelligence Analyst serves as a critical bridge between Finance, Operations, and IT by designing, developing, and maintaining data, reporting, analytics, and automation solutions that support business decision-making across the organization.
Responsibilities
Build and maintain enterprise datasets, semantic models, dashboards, and reporting solutions.
Develop Power BI and Microsoft Fabric solutions, including semantic models, reporting, and self-service analytics capabilities.
Design and maintain analytical, forecasting, and decision-support models using SQL, Python, and other modern technologies.
Partner with business and technology teams to translate requirements into actionable data and reporting solutions.
Ensure data quality through validation, reconciliation, and monitoring processes.
Requirements
Bachelor’s degree or equivalent experience in Business Intelligence
Facilitator between technical office, industrialization and manufacturing, ensuring Creo and Windchill accelerate performance across the digital chain.
Responsibilities
Develop, test and deploy development methodologies
Ensuring the availability of partially and fully automated production plants in ongoing operation and monitoring the seamless interaction of production control systems (PLC, periphery and production control systems).
Responsibilities
Sicherstellung der Verfügbarkeit teil- und vollautomatisierter Produktionsanlagen im laufenden Betrieb.
Überwachung und Sicherstellung des reibungslosen und prozesskonformen Zusammenspiels der Produktionssteuerungssysteme (SPS, Peripherie und Produktionsleitsystem) in Zusammenarbeit mit den Bereichen Industrial Engineering und Industrial Electric.
Durchführung und Dokumentation komplexer Änderungen und Reparaturen sowie Softwarewartung und Updates an Maschinensteuerungen.
Programmierung und Weiterentwicklung von Schnittstellen zwischen SPS und MES-Systemen.
Kontinuierliche Weiterentwicklung der MES-Systemarchitektur.
Lead technical resources for the Risk & Reporting team, building data engineering, automation, and dashboards for enterprise reporting workflows in alternative investment strategies.
Locations (2)
Hyderabad
Los Angeles, California, United States
Responsibilities
Design and maintain cloud-ready data pipelines and dimensional models using SQL, Python, Power BI, Microsoft Fabric / Azure, and AWS services such as S3, Glue, Lambda, Redshift, Snowflake or Aurora
Implement secure, automated ingestion from Oaktree systems, MDM, data warehouse sources, FTP / email feeds, vendor files, Salesforce, servicer or administrator reports, and governed reporting datasets
Build performant ELT / ETL workflows for investment, portfolio, cash activity, audit log, exception, exposure, attribution, and reporting-control data
Develop reusable SQL and Python utilities, including advanced SQL optimization, window functions, pandas / PySpark data engineering, REST / GraphQL integration, validation checks, and test automation
Create institutional Power BI dashboards, semantic models, paginated reports, DAX measures, Power Query / M transformations, row-level security, and deployment pipeline assets
Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics, Finance, Accounting or a related analytical field, or equivalent deep work experience building data / BI solutions in investment management
