Software Engineer in Modelling & Analytics at vattenfall

Hamburg, , Germany -

Full Time

Start Date

Immediate

Expiry Date

31 May, 26

Salary

0.0

Posted On

02 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Development, Software Engineering Principles, DevOps Practices, CI/CD Pipelines, Containerisation, Docker, Workflow Orchestration, Airflow, Kubernetes, Cloud Platforms, Azure, Databricks, Data Quality, Data Reliability, Scalability, Agile Team Collaboration

Industry

Utilities

Description

Company Description Vattenfall is a European energy company with approximately 20.000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. Right in the heart of Vattenfall, at Business Area (BA) Markets, you will find an inspiring international environment, with a culture of care and personal growth, enabling you to be who you are, having fun, building strong relationships and learning every day. Find out what our colleagues think about our culture: https://youtu.be/-9qGrDUCptA We employ around 500 professionals who are active across Europe with offices in Sweden, Germany, The Netherlands, and the United Kingdom to drive the energy transition together. Our role in Vattenfall is to maximize the value of the overall portfolio by optimizing and dispatching, hedging, and sourcing for Vattenfall's sales and generation volumes. We serve as Vattenfall’s single access to energy commodity markets and trade electricity, emissions, fuels, freight, and renewable certificates. In BA Markets the mission of the Unit OU Operations is to drive the digital transformation. OU Operations consists of diverse and highly skilled employees from more than 20 countries. We work internationally from our locations in Stockholm, Hamburg and Amsterdam. Job Description At Vattenfall, we don’t just “do energy.” We exist to help our customers power their lives in ever more climate-smart ways and to enable a fossil-free future. If you are looking for meaningful challenges and want to be part of driving real change, join our diverse and talented team — and make a difference. Data Engineer – Analysis, Business Area Markets In Business Area Markets, business decisions are made around the clock and at high frequency — creating vast potential for intelligent automation. Analysis is BA Markets’ centre of competence for data-driven and automated decision-making. We work closely with teams across the organisation to deliver scalable, production-ready solutions that directly support commercial decisions. As a Data Engineer in Analysis, you will join a collaborative Scrum team operating at the intersection of data, analytics, and energy markets. Our teams combine software engineering, data, and analytical expertise to support a wide range of use cases across BA Markets. Your Role You will combine hands-on data engineering with a strong analytical context, working on production-critical systems while continuously improving how data is processed, automated, and maintained. What you will do Design, build, and maintain well-structured data flows that power analytical models and decision support tools Automate data processing and operational workflows to reduce manual steps and increase robustness and transparency Take ownership of data quality, reliability, and scalability in a production environment Contribute to improving engineering standards, architecture, and data practices across Analysis Collaborate closely within your agile team and with stakeholders across BA Markets to ensure data solutions meet real business needs Qualifications What you bring At least 2 years of professional experience in Python development, with a solid understanding of software engineering principles Familiarity with modern DevOps practices, such as CI/CD pipelines, containerisation (Docker), workflow orchestration (e.g. Airflow, Kubernetes), and cloud platforms (e.g. Azure, Databricks) An innovative and curious mindset — exploring AI and new technologies to continuously improve data and software platforms Interest in the energy domain and its business context Experience in or curiosity about financial markets (e.g. forward curves) is an advantage Strong communication skills and a collaborative approach when working with colleagues and stakeholders A degree in Computer Science, Engineering, Mathematics, or a related field Fluency in English What we offer A welcoming work climate with flat hierarchies, appreciation for initiative, open discussion culture, and zero tolerance for harassment An international and multicultural environment with energetic colleagues A dynamic setting where constantly evolving markets translate into exciting challenges A strong Analysis community where we actively share knowledge and ideas across analytical topics in the energy market A flexible, supportive, and agile work culture — without micromanagement — where teams are trusted as experts in how they deliver Opportunities for professional growth, including internal rotations to broaden your experience Flexible working hours and the possibility to work remotely up to 50% of the time If you want to help shape data-driven decision-making in a rapidly evolving energy landscape, we look forward to your application. Additional Information Benefits Your development is a priority at Vattenfall BA Markets. Your professional journey will benefit from working in the exciting industry of energy trading, and in interdisciplinary teams. To support your career, we offer opportunities to grow through training, job rotations, talent programs and a working environment that stimulates learning. Our work culture at Vattenfall is excellent. We have an open corporate culture with flat hierarchies. Modern and flexible working conditions, including mobile work, promote wellbeing. In Germany, our work week consists of 37.5 hours with, in many cases, the possibility to work part-time. Up to 49% of your working time can be mobile work, and you are entitled to 30 days of vacation per year. Your health is important to us. We provide several health programs and support throughout potentially challenging life situations. Your colleagues will be another highlight. We employ inspiring people with diverse backgrounds. Together with our culture and your tasks, they form an interesting and fun place to work. You can find our new state of the art office next to Elbbrücken. More information We welcome your application in English, no later than March 16th, 2026. We kindly request that you do not send applications by any means other than via our website as we cannot guarantee that we will be able to process applications that are not made via our website. For more information about the recruitment process you are welcome to contact our Recruiter Jil Ungethüm via phone at +49 40 79022 1378. At Vattenfall we are convinced that diversity contributes to build a more profitable and attractive company and we strive to be good role model regarding diversity. Vattenfall works actively for all employees to have the same opportunities and rights regardless of gender, ethnicity, age, transgender identity or expression, religion or other belief, disability or sexual orientation. The security of Vattenfall and its employees is essential. For that reason, a pre-employment screening will be part of your recruitment process. The screening is based on the role you will fulfill within Vattenfall. The screening will be performed by a third party, called DISA. In addition, a certificate of good conduct (i.e. criminal record certificate) is required for certain positions. We look forward to receiving your application! Workplace type (LinkedIn): Hybrid Type of Employment (Career Site): Full-time only

Responsibilities

The role involves designing, building, and maintaining well-structured data flows to power analytical models and decision support tools, while automating data processing and operational workflows to enhance robustness and transparency. You will take ownership of data quality, reliability, and scalability in production systems and contribute to improving engineering standards and data practices.