Hybrid Data Engineer

Posted 6 days ago

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About the role

  • Data Engineer driving data innovations and building analytics platforms for Kramp's digital transformation. Collaborating in an international Data Office team utilizing modern technologies.

Responsibilities

  • Build and maintain Kramp's data-driven future through data innovations
  • Enable modern, secure, and scalable data infrastructure that ingests raw data
  • Create foundational pipelines and future-ready AI tools
  • Collaborate within an international cross-functional Data Office team
  • Utilize a state-of-the-art cloud data warehouse with tools like Python, Java, BigQuery SQL

Requirements

  • Experience in designing, developing, documenting, and maintaining software written in Python and/or Java as well as dataflows written in SQL
  • Knowledge of different Data Modelling principles and selecting the right one depending on the needs of a consumer
  • Feeling comfortable working with Linux, git, and Docker to extend and maintain our CI/CD workflows and pipelines or are you eager to dive into this topic
  • Experience in working in cloud environments (preferably GCP or AWS)
  • Experience or knowledge of Infrastructure-as-Code applications like Terraform and data transformation tools as dbt and Dataform
  • Cultural awareness, sensitivity, and adaptability in building connections with people from diverse backgrounds
  • Excel conceptual thinking and a proactive approach to decision-making, taking ownership to ensure project success

Benefits

  • 25 vacation days and 12 ADV days (based on a fulltime contract)
  • Flexible working policy in hours and location
  • Travel- and working from home allowance
  • Profit sharing bonus
  • Budget for training and courses
  • Generous pension plan

Job title

Data Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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