Do you like to play with data? Help us revolutionize data utilization to foster the green shift!

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Looking for an exciting challenge as a data engineer? Join us at Statnett and help us revolutionize how power system analysts use data to maximize the utilization of the grid.

Statnett has established a cross-disciplinary product team whose objective is to empower analyst by making it much easier to find and use power system data. While we have other teams creating and owning data, this team combines this data to a one-stop-shop for power system data. Now we want to strengthen this team. This is where you come in!

As a data engineer in our contextualized power system data team, you will make our power system data immediately accessible and useful for power system analysts. For example, the graph model describing the power system is very complex, consisting of millions of triplets and hundreds of data-classes. In addition, the analysts want to combine the model with other information, such as more than 100 000 sensors around the power grid. By offering an intuitive Python SDK and a hassle-free runtime environment we have already started on our mission to lower the user threshold for domain experts who now can query data in a much more intuitive way. We encourage you to read this blog post to learn more of what the team do.

You'll join an empowered, skilled, and dedicated team of nearly ten people, and a professional community within our Data Engineering section with about 10 employees. The Data Engineering section is part of the Digital Foundation and Data department, with about 40 information architects, data scientists, data engineers, and experts in geographic information systems. You'll work with a curious and ambitious team, with innovative technology and on prioritized use-cases.

At Statnett, we value our employees and offer competitive terms and a highly competent professional community. If you have a passion for data and want to help build the world's most powerful self-driving machine, apply today!


Job tasks

Develop and enhance tools and services that:

  • Ensure that data is accessible and secure (developing and enhancing microservices)
  • Improving services and data through, for example, monitoring and analysis of data pipelines
  • Meets the power system analysts and other users need over time (for example by develop tools that simplifies data access and analysis)

All work will be carried out in close collaboration within your product team, and you will often collaborate with other teams. Additionally, you will work with the professional community in the section to make Statnett better in data engineering.

Qualifications

We are looking for candidates with relevant higher education and relevant experience in areas:

  • Proficient in Python or Java/Kotlin, or deep understanding of other programming languages
  • Good written and oral communication skills in English, and at least concrete goals to become proficient in Norwegian (Statnett may support)

In addition, you may have:

  • Container applications on technologies such as Kubernetes
  • Experience with agile work methods, especially experience with CI/CD and Git
  • Experience with graph models (such as CIM or RDF) and querying (for example graphQL or SPARQL)
  • Streaming platforms such as Kafka
  • Platforms for analysis and storage of Big Data.
  • Experience with DataOps or good knowledge of other data engineering skills
  • Knowledge of the energy industry and ideally the power system domain

Personal qualities

On the personal level, you:

  • Have a good ability to collaborate closely with both technical and non-technical colleagues
  • Enjoy learning new things, solving complex problems, and to create scalable and practical solutions
  • Are passionate about utilizing data in new ways, to solve real challenges or utilize new opportunities

What we offer

In addition to an exciting job, good colleagues, and a safe working environment, we also offer:

  • Freedom to explore problems and technologies, and time for professional development during working hours.
  • Competitive salary, and maximum pension savings within the legal framework
  • Great canteen with excellent food
  • Good flextime scheme
  • Highly competent professional environment
  • Fitness room and company sports club for those who like to exercise, preferably with others
  • Company cabins and many opportunities to socialize

Workplace is either at our office in Oslo or in our office in Trondheim, with work from home possibilities. Currently all members of the power system data contextualiztion team are based in Oslo, but the Data Engineering section as well as the Data Science department have employees based in Trondheim.

Kontaktinformasjon

Ola Hagen Øyan, +47 984 87 814

Arbeidssted



Nøkkelinformasjon:

Arbeidsgiver: Statnett

Referansenr.: 4669030762
Stillingsprosent: 100%
Permanent position
Søknadsfrist: 08.06.2023