Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Würzburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop data pipelines using Databricks on Azure, build real-time applications with Kafka, and automate processes with Terraform while collaborating closely with the team.
Job Technologies
Your role in the team
- Development of data pipelines based on Databricks on Azure
- Development of Prefect / Dagster / Airflow pipelines
- Development of Big Data pipelines based on Databricks
- Development of real-time applications based on Apache Kafka
- Building a data lake including data processing based on dbt tools
- Support in conception and design processes
- Support with handling customer and support inquiries
- Automation of infrastructure via Terraform (with Python)
- Support for senior developers
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Our expectations of you
Education
- You have a degree in Computer Science or a comparable field of study.
Qualifications
- You have good IT skills with Git, Outlook
- Linux / UNIX
- Good knowledge of English and German, both written and spoken.
- You have an independent working style, are reliable and communicative.
- You have expertise in one of the various programming languages / frameworks:
- Java / Scala
- Python
- Spring Boot / Apache Spark / Apache Airflow
- Bash / Ansible / ssh / RSA Keys / Networking
- Azure Cloud
- DBT / Databricks
Experience
- At least 1 year of Databricks experience
- At least 1 year of Azure experience
- At least 1 year of CI/CD experience
- At least 1 year of Data Engineering experience
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What we offer
- Two days of remote work per week, e-scooters, and snacks in the office.
- Finally, you should enjoy working with technology and solving problems.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Datamesh Gmbh
Datamesh GmbH is an innovative company based in Würzburg that specializes in developing software solutions driven by data. The team operates in an agile environment and focuses on Data Engineering, Big Data, and Artificial Intelligence.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Location
- Würzburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
