Analytics Engineer (f/m/d)
Workload: 100%
As an Analytics Engineer, you will play a pivotal role in empowering teams across Axpo Trading and Sales to effectively utilize our Data and Analytics Ecosystem. You will be an integral part of a product team, collaborating closely with cross-functional teams to drive the evolution of the Data and Analytics Framework and ensure seamless onboarding and optimal use of the frameworks.
What you will do:
- Contribute to the scalability, reliability, and efficiency of our Data and Analytics Framework to accommodate a larger audience within the organization.
- Engage and collaborate with cross-functional teams to understand data requirements and translate them into scalable data solutions.
- Design, develop, and deploy data solutions end-to-end to support different activities in the Trading and Sales business area.
- Focus on data modelling and data pipelining, ensuring data quality, integrity, and operational robustness.
- Tune and monitor data storage, processing, and retrieval mechanisms for improved performance.
- Work together with international cross-functional data professionals within a data-dedicated environment.
What you bring & who you are:
- Master’s degree in Computer Science, Engineering, or other related technical field.
- Solid experience in data engineering, with a focus on designing and implementing data solutions in a cloud environment (preferably in Microsoft Azure).
- Good understanding of data pipeline orchestration patterns, such as event-driven architectures and streaming/batch-based data processing methods.
- Highly proficient in Python and query languages such as SQL.
- Familiar with continuous integration and continuous deployment (CI/CD) practices, ensuring smooth and automated deployment of data solutions.
- Experience working in a collaborative environment using GitHub.
- Good knowledge of MLOps best practices, including the deployment, monitoring, and management of ML models running in production.
- Familiar with containerization technologies such as Docker and Kubernetes.
- Fluent in English.
About the team:
Join a dynamic and innovative team dedicated to advancing Axpo's Data and Analytics capabilities. We work closely with diverse teams across Trading and Sales, providing crucial support and solutions that drive our business forward. Our team values collaboration, creativity, and continuous improvement, ensuring that we stay at the forefront of the industry.
- Department
- IT / Technology
- Locations
- Madrid
- Remote status
- Hybrid Remote
3 numbers we're proud of:
Years of experience
Employees
Different job profiles
Workplace and culture - Benefit from a modern environment, good social security and flexible working hours.
At Axpo, all employees have the freedom to develop their personal skills and potential and to remain true to themselves. Axpo lives a culture that is free of prejudices about age, gender, origin, education, religion, disability or sexual orientation. We promote uniqueness. Because uniqueness creates diversity. And diversity promotes growth and is our driving force.
Your Benefits
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Your choice
Axpo Iberia offers 23 days of paid leave to enjoy vacations during the year and a hybrid working model for all employees.
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Cultural exchange
We encourage close collaboration between countries by providing employees with free language lessons and periodic travel to our central office in Switzerland.
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Health care
As well as lunch vouchers and a discount on the nearby gym, we also provide private health and life insurance to each employee.
Madrid
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About Axpo Group
Axpo's ambition is to provide society with a sustainable future through innovative energy solutions. Axpo is the largest Swiss producer of renewable energy and an international pioneer in energy trading and the marketing of solar and wind power. More than 7,000 employees combine experience and know-how with a passion for innovation and the joint search for ever better solutions. Axpo relies on innovative technologies to meet the ever-changing needs of its customers in over 30 countries in Europe, North America and Asia.
Analytics Engineer (f/m/d)
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