Data Engineer

Job Description – Senior Data Engineer (Python / Valuation Systems)

Location : Luxembourg

Contract Duration : 225 Days

Work Mode : Onsite

Project Overview

The role supports the advanced development phases of the in-house application SPVAL, focusing on the digitalization and enhancement of Excel-based valuation models used for venture debt and direct equity valuations. The position plays a key role in translating business valuation logic into scalable technical solutions.

Key Responsibilities

• Convert complex Excel-based valuation models into scalable and maintainable Python-based calculation models.
• Design and prototype front-end and back-end data models using the OutSystems platform to support the IT development team in building the final solution using Java React.
• Develop, optimize, and maintain ETL (Extract, Transform, Load) pipelines.
• Use SQL (Oracle) for data validation, reconciliation, and backend integrations.
• Work closely with the Product Owner to ensure backlog prioritization and timely stakeholder communication.
• Coordinate with cross-functional teams (Integration, DWH, etc.) to manage dependencies and integration challenges.
• Design and execute test cases in collaboration with QA teams.
• Perform end-to-end testing for complex workflows such as SWIFT imports and reconciliation processes.

Mandatory Requirements

• 7+ years of experience as a Data Engineer.
• University degree in Computer Science, Mathematics, Physics, Engineering, or equivalent practical experience.
• Strong expertise in Python programming.
• Proven experience in data engineering and data modelling, working with structured, semi-structured, and unstructured data.
• Extensive experience with ETL tools (Talend, Informatica, or similar).
• Strong knowledge of data warehousing concepts, methodologies, and frameworks.
• Hands-on experience with Oracle SQL and backend integrations.
• Solid understanding of data modelling best practices.
• Experience with Business Objects for reporting and reporting universe modelling.
• Knowledge of data security, encryption standards, and compliance practices.
• Experience with UNIX/server administration.
• Familiarity with batch and real-time processing frameworks.
• Exposure to NoSQL, Hive, or Big Data technologies.
• Data visualization experience using Python, R, or Tableau.
• Software or web development experience to streamline data workflows and reporting.
• Strong experience in process automation, system improvements, and high-quality reporting.
• Excellent English communication skills (written and verbal).

Mandatory Domain Experience

• Banking applications.
• Lending or middle-office systems, including:
• Guarantee Calls
• Cash & Liquidity Management
• Rate Setting
• Capital Markets
• Provisioning & Valuation
• Advisory Services
• Mandate Management
• Minimum 1 year of hands-on experience using Python in project environments.
• Prior experience working with International or European institutions is mandatory