Senior Data Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7l7xkv

Imagine a future where you work in the world’s most innovative energy enterprise aiming to create a world that runs entirely on green energy

Join us in this role where you’ll perform both development and internal support tasks in a team of data enthusiasts who are passionate about developing platform solutions that enable data driven decisions throughout the organisation.

Welcome to Ørsted Data Ecosystem

You’ll be part of a global team where you, together with your colleagues, will deliver value to the business across Orsted. You’ll be a central part of our team evolving, developing, and maintaining the data engineering and ingestion pipelines within Ørsted Data Ecosystem.

The Ørsted Data Ecosystem is a modern cloud-based data platform providing technology that supports the collection, processing, and consumption of data from all Ørsted’ s business units, using batch or streaming patterns and making it available to analysts, data scientists, and machine learning models. When working with our backlog, we aim to empower people to make decisions,



we promote collaboration between people and teams, and we provide work hour flexibility.

You’ll play an important role in:
- developing and maintaining production-grade and peer-reviewed data ingestion pipelines
- ensuring that data is made available in a way that is optimised for security, stability, and performance
- collaborating with the peer data engineers, architects and other stakeholders to identify and solve problems within data engineering practices
- participating in developing the capabilities and governance of the data platform
- setting up monitoring and orchestration of data pipelines.

To succeed in the role, you:
- have professional data engineering experience in data analytics, data processing tools, ETL, ELT etc
- have strong hands-on Python and SQL skills with DevOps and CI/CD (GitHub Actions, Azure DevOps etc.) knowledge
- have experience working with Spark/PySpark, Kafka or NiFi
- are familiar with c

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7l7xkv