Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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