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


Start Date

Immediate

Expiry Date

28 Dec, 26

Salary

50000.0

Posted On

29 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description
  • 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


How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • 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


Loading...