Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dortmund
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines for information delivery and design data products in close collaboration with business departments to create a structured knowledge graph.
Job Technologies
Your role in the team
- You develop and operate data pipelines for delivering data on our network asset data platform.
- They design and implement data products in close collaboration with the subject matter experts in an end-to-end process.
- They link our data objects into a knowledge graph, from schema definitions through ontologies to the graph data model.
- They prepare relevant data for the digital twin and AI agent so that decisions can be made based on a reliable, well-structured information foundation.
- They assist in automating data quality checks and help translate domain-specific rules into robust validations.
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Our expectations of you
Education
- Completed university degree with a focus on (business) informatics, electrical engineering, natural sciences or engineering sciences, or a comparable qualification with a strong data reference.
Qualifications
- Team spirit, excellent communication skills, and enthusiasm for developing a modern corporate culture.
- You enjoy working at the interface between the business unit and IT, can translate requirements into technical solutions, and are not afraid to critically question existing solutions.
- You think in data products and can create and describe them in a structured way.
- You are familiar with graph databases and semantic modeling languages such as RDF, JSON-LD, JSON Schema, LinkML, or are willing to quickly familiarize yourself with these topics.
Experience
- Experience in building data pipelines and working with established data platform technologies (e.g., cloud data platforms, streaming or ETL tools) is desirable.
- First experience with Python is desirable.
- Experience in high/extra-high voltage grid or the energy industry as well as in CIM/CGMES.
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What we offer
- Maintain a healthy work-life balance with our flexible working hours system and partial remote work.
- Our collective agreement includes, in addition to flexible working, a 38-hour workweek.
- We offer 30 vacation days per year. Additionally, Christmas Eve and New Year's Eve are free days for us.
- Onboarding, training sessions, feedback discussions - we support your onboarding process and your professional development.
- Through partnerships, we support you with childcare. Additionally, a parent-child office is temporarily available to you.
- Parking spaces are provided at our locations. Of course, also for bicycles.
- A full month's salary as Christmas bonus is provided for everyone (pro-rated payment in the year of entry).
- As part of the company pension scheme, Amprion finances your supplementary pension (direct commitment). Additionally, you can make your own provisions through salary conversion.
- As part of the Amprion equity participation program, you can participate in the company's success through the acquisition of profit participation rights.
- At the major locations in Dortmund and Brauweiler, there are dedicated cafeterias. At other locations, meals are subsidized.
- Benefit from various advantages offered by different brands and shops.
- We support staying healthy with activities and offers within the framework of Occupational Health Management (OHM), such as corporate fitness.
- Work flexibly - also temporarily from another location abroad.
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Topics You Will Work On
Job Locations
About Your Employer
Amprion GmbH
As one of four transmission grid operators in Germany, Amprion GmbH is vital to the stability and security of the country's energy supply. Our power lines are the lifelines of society, providing electricity to 29 million people and supporting countless jobs and businesses.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy