(Senior) Data Architect / Data Engineer at Trianel GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

18 Nov, 26

Salary

0.0

Posted On

20 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

(Senior) Data Architect / Data Engineer (m/f/d)

We are looking for a (Senior) Data Architect / Data Engineer for our Energy Trading IT department.


We are a compass for municipal utilities on their journey into the energy world of tomorrow. Would you also like to apply your expertise in the dynamic and highly topical field of renewable energy? 

Then read on!

Your tasks – your energy makes the difference

  • Development work –  further development of our new data platforms for energy market data and analytics; definition and implementation of efficient data architectures for analytics processes, including near-real-time data analysis for use by data analysts and data scientists; integration of AI and ML into data processing and analysis processes.
  • Collaboration -  Close collaboration with the specialist departments to independently understand and implement data requirements (including requirements analysis and specification, implementation, quality assurance and operation)
  • Optimization work –  optimization of data architecture and performance; automation of data processes
  • Monitoring work -  Implementation of measures to ensure data integrity and monitoring of data quality

Your profile – your facets will take you further

  • Education -  Completed studies in (business) informatics, data science or a comparable field of study
  • Qualifications -  Several years of professional experience as a Data Architect / Data Engineer or in a comparable role; sound experience in building and operating solutions in cloud platforms (Azure); experience in data architecture (Data Vault 2.0), data modeling and building data pipelines including quality assurance; very good German and English skills
  • Expertise –  Strong technical knowledge in data integration and the transformation of large datasets; in-depth knowledge of data provisioning as a data lakehouse and (near-real-time) analytics streams; know-how in integrating AI and ML into data processing and analysis processes; good knowledge of SQL, Python, dbt, and experience with Snowflake and the Azure Tech Stack
  • Personality -  Strong teamwork skills, structured and goal-oriented work style; good analytical and conceptual thinking skills, high degree of initiative

Our offer – We value your energy

  • Together  – Open corporate culture with regular events
  • Flexibility  – trust-based working hours and mobile working
  • Growth  – Excellent development prospects in a future-oriented business sector
  • Health  – Corporate health management, gym, sports groups, JobRad (bike leasing), Viva Family Service
  • Family  – Daycare subsidy


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Responsibilities
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