Data Engineer // Narwhal Data Solutions

Narwhal Data Solutions | Berlin, Germany

Date listed

1 month ago

Employment Type

Full time

Remote

Yes

We are looking for a smart Data Engineer with experience in building data warehouses, data lakes, data pipelines and business intelligence solutions. Duties and responsibilities:

  • Design and implementation of data lakes and data warehouses
  • Building and running data pipelines in cloud environment
  • Monitoring the performance of the ETLs and proposing the improvements
  • Testing, deployment, troubleshooting
  • Documenting the implemented solutions
  • Improving your technical skills and learning new technologies
Your profile: Must have:
  • Experience in building data warehouses, data lakes and data pipelines
  • At least 2-3 years of relevant professional experience
  • Fluent SQL
  • Very good command in Python
  • Experience with modern RDBMS, ideally PostgreSQL or Amazon Redshift
  • Fluent English
  • B. Sc. in Computer Science or similar domain
  • Sense of quality
  • Good communication skills
  • Ability to learn quickly
Any of the below would be a nice addition:
  • Good working knowledge of Airflow, Prefect or dbt
  • Exposure to Spark, Kafka, Flink, or any other big data technology
  • Experience with any commercial MPP database
  • Good working knowledge of CI/CD workflows and tools
  • Familiarity with modern data processing and software development techniques
  • Orientation in cloud technologies and services (AWS, Azure, Google)
  • Fluent German would be awesome
We offer:
  • Salary, of course
  • Fully remote work (from EU locations)
  • Possibility to work part time – if you desire so
  • Company bike (after probation period)
  • Challenging projects
  • Responsibility from day one
  • High level of independence in execution of your tasks
  • Support and expertise from more senior engineers
The position is open only for EU residents with unrestricted right to work in their country of residence. Offers from recruitment or staffing agencies are not appreciated.

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