Salary: 50.000 - 65.000 € per year Requirements: Degree in Computer Science, Data Engineering, Information Systems, or a related field. 8 years of experience in data engineering, data architecture, or data management, ideally in finance or a regulated industry. Strong knowledge of finance processes (accounting, controlling, internal controls) and how data underpins them. Deep technical expertise in SQL, data modelling, data pipelines and monitoring, ETL/ELT, APIs, and cloud data platforms. Experience with data governance frameworks and metadata management. Ability to influence other stakeholders on technical matters. Responsibilities: Define and maintain the application-agnostic data model in Finance, aligned with the needs of our Finance Functions, as well as group-wide standards, IT Architecture, and our Uniper Business. Lead the assessment of the finance data landscape, identifying gaps, redundancies, and opportunities for optimization and harmonization. Build and maintain data pipelines, integrations, and transformation processes for finance data. Partner with our Data Scientists and Finance colleagues to translate business requirements into data-driven solutions. Establish and oversee data quality and governance frameworks across finance platforms and processes. Provide technical leadership and mentorship to the Data Engineer(s) within the Data Foundation and Enablement pillar. Collaborate with IT, platform owners, and data governance bodies to ensure alignment with enterprise standards. Deliver recommendations on data platform improvements, solutions, integration, and tooling. Technologies: AI Cloud ETL SQL Security Backbone Support More: At Uniper, we are pro-actively transforming the world of energy while ensuring the security of energy supply. Our diverse teams work with the greatest possible flexibility for our employees, and our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. As part of our Finance Information Excellence team, you will help shape changes in how Finance utilizes data and AI by creating and maintaining pathways that connect data science innovation with financial expertise. We offer a supportive working culture, flexible working arrangements, and a range of health and wellness benefits. We are committed to diversity and equal opportunities, encouraging applications from individuals whose capabilities match the role requirements, regardless of gender, origin, disability, age, religion, ideology, sexual identity, or marital status. last updated 45 week of 2025