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Data Scientist

Haystack

Location

Remote

Salary

Not specified

Type

Full-time

Posted

Today

via linkedin

Job Description

Data Engineer/ Scientist

We're seeking a skilled Data Engineer/Scientist to join a dynamic consultancy specializing in cloud-based data solutions. This company empowers clients with cutting-edge expertise in big data, machine learning, and AI, driving tangible business impact through innovative technology.

The Role

  • Design, develop, and operate scalable and secure cloud-based data management solutions.
  • Focus on software-driven architecture, automation, and Infrastructure as Code (IaC).
  • Take ownership of projects in Big Data, Machine Learning, and Predictive Analytics.
  • Develop data-driven applications, APIs, and services, ideally utilizing Azure OpenAI.
  • Build and continuously evolve advanced data architectures using platforms like Microsoft Azure, Snowflake, or Databricks.
  • Conduct client workshops for requirements analysis and optimal data architecture design.

What You'll Need

  • Completed degree, vocational training, or equivalent qualifications in IT, or practical experience in similar roles.
  • Proficiency in Python and other programming languages.
  • Experience with Cloud Native Computing and a Cloud Provider (Azure, AWS, or GCP) is a plus.
  • Knowledge of data modeling and working with relational and non-relational data sources.
  • Strong affinity for Data Science and AI topics, especially Azure OpenAI.
  • Excellent communication skills in German.

What's On Offer

  • Company pension scheme and monetary benefits.
  • Flexible working hours and a strong work-life balance.
  • Opportunities for continuous professional development and knowledge exchange.
  • Engaging company events and a supportive company culture with flat hierarchies.

Important Information

  • Candidates must be based within reasonable commuting distance of Köln.
  • Candidates must have the legal right to work in Germany.
  • Professional working proficiency in German is required.

Apply via Haystack today!

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