Hybrid Senior Data Engineer

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About the role

  • Senior Data Engineer developing sustainable data solutions for various clients. Collaborating on cloud projects and utilizing modern data management technologies in a hybrid working environment.

Responsibilities

  • You will develop sustainable data solutions, from requirements analysis through implementation and deployment
  • You will support the development of modern, high-quality data platforms — on-premises and in clouds such as Azure, AWS, or GCP
  • You will work daily with modern data management technologies (for example Databricks, Snowflake, or Microsoft Fabric) and continuously expand your expertise in them
  • You will implement ETL processes and optimize them for performance and scalability
  • You will assist clients in developing complex processing pipelines and deploying data services/data products
  • You will work closely with various stakeholders — in German and English
  • You will take responsibility for the continuous improvement and automation of existing systems

Requirements

  • You have hands-on experience implementing cloud data platform projects, e.g., with Snowflake, Databricks, Microsoft Fabric, Amazon Redshift, or Google BigQuery
  • You have worked with a variety of data management tools
  • You have expertise in SQL and experience with programming languages such as Python
  • You are experienced working with CI/CD pipelines
  • You enjoy continuous learning and are passionate about new technologies and trends
  • You are a team player with excellent communication skills — in German and English.

Benefits

  • Tech talks, knowledge sharing, team spirit, and definitely no elbows 💪
  • Flat hierarchies combined with short decision paths provide agility in the consulting environment
  • Career development aligned with personal interests and focus areas
  • Knowledge transfer and experience exchange through internal and external training programs, certifications, and education in the latest technologies via our partner network
  • Celebrate successes together: skiing trips, summer party, Christmas party, group barbecues, etc.
  • We value work–life balance: flexible working models, workation, mental health program, subsidy for train tickets, sabbaticals, etc.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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