Finance Data Engineer (f/m/d) at Uniper SE

Dusseldorf, North Rhine-Westphalia, Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

0.0

Posted On

06 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Data Integration, ETL, Cloud-Based Data Platforms, Data Quality Monitoring, Metadata Documentation, Agile Methodologies, Finance Processes, Collaboration, Data Governance, Data Literacy, Data Pipelines, Data Transformation, Business Requirements, Continuous Improvement

Industry

Utilities

Description

Our Finance Information Excellence team in Düsseldorf is looking for YOU! We are Uniper At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you! Your responsibilities About Finance Information Excellence We are Uniper’s Finance Information Excellence team. Our purpose is to be the catalyst for excellence in how Finance uses data and AI. We create, enable, and maintain the pathways that connect data science innovation with finance expertise — turning business knowledge into advanced, data-driven solutions. By collaborating closely with controlling, accounting, internal controls, and IT, we ensure Finance operates with a trusted data foundation that delivers actionable insights leading to best-in-class financial decisions at Uniper. To help us achieve our mission, our Data Foundation & Enablement group is looking for a Data Engineer to take a role in shaping the backbone of Finance data. Role Description The Data Engineer in Finance Information Excellence – Data Foundation & Enablement is responsible for mapping, developing, and operationalizing the Finance data structures that leverage and increase the cross-operability of our data. This role supports the Senior Data Engineer in building our data foundation and drive enablement by ensuring data quality, accessibility, and readiness so that processing takes place in our Data Science practice as well as in our teams in accounting, controlling, and internal controls. Key Responsibilities Support the mapping of data needs and the current data landscape across all finance areas Build and maintain data pipelines, integrations, and transformation processes for finance data Implement data quality checks, monitoring, and validation mechanisms Assist in documenting data models, definitions, and lineage for finance Collaborate with finance stakeholders to understand business requirements and ensure alignment with data solutions Provide technical input to data governance processes and enable finance data literacy Contribute to the continuous improvement of finance data platforms and processes Your profile Degree in Computer Science, Information Systems, or related field 3–5 years of experience as a data engineer, BI developer, or similar role Proficiency in SQL, data integration tools, ETL/ELT, and cloud-based data platforms Understanding of finance processes and data (e.g., general ledger, consolidation, controls) is a strong advantage Hands-on experience with data quality monitoring and metadata/documentation Ability to work in Agile teams and collaborate closely with stakeholders Your benefits At Uniper, we not only reward our employees with attractive salaries, an excellent company pension and health related benefits for their hard work and dedication to shaping the future energy transition. You can also expect a supportive working culture that offers a wide range of creative and innovative ideas. We enable various flexible working arrangements, whilst also supporting with home office equipment. Through regular training and workshops, together we work towards visualising yourself in our company as if it were your own. We support you in highlighting your individual potential, achieving your personal goals, and reaching your ambitions. We invite you to become part of our diverse company with international colleagues from more than 80 countries. As an employer, Uniper has committed itself to providing special support to certain areas: Work-Life-Balance / New Normal: Choosing how, where, and when to work in accordance with your team and the requirements of your job Modern and ergonomic equipment for your workplace (home & office) Support to balance private life and work: Sabbaticals, part-time possibilities, family service Mobility: Car and bike leasing offer (deferred compensation) E-car charging stations at almost all Uniper locations Health offers: Flu vaccination Preventive health services Employee assistance program Company pension: Employer-funded contributions to a modern pension system Possibility of self-funded contributions with employer-funded matching Trainings: Lifelong training Coaching Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted! Your contact If you have any questions, please do not hesitate to contact us at: Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered! As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.

Responsibilities

The Data Engineer is responsible for mapping, developing, and operationalizing Finance data structures to enhance data cross-operability. This role involves building data pipelines and ensuring data quality and accessibility for finance teams.