Python Data Engineer (m/w/d)

Client: A startup helping other companies with their recruiting needs

Category: Data Science
Published: Dec 17, 2020
Uplink fee: 10%, max. 6 months More info »
Job type: Direct More info »


You will work together with the growing data science team that consists of 5 people and the infrastructure team. The concrete project will be to rebuild a major machine learning pipeline - quite complex multi-step - that is used to calculate marketing budget allocations - they use it to continuously attract candidates automated on more then 50 sources. The modeling is already done, the client needs someone who helps to deliver and QA it on the way.

You should be experienced in:
- Delivering large pipelines using Apache Airflow as well as QA them and share your Python best practices with the team
- Building reliable well-tested systems, coordinating testing efforts to ensure the delivery of quality features (unit testing, integration testing, data quality checks)
- Cloud services (AWS is preferable), especially object storage (S3 or alternative) and columnar DB (Redshift or alternative)

Must have skills
Airflow, ETL, Python, SQL

Nice to have skills
AWS

Start date
Earliest: asap
Latest: Jan 18, 2021

Length
min. 3 months
The initial running time is 3 month, but an extension is possible.

Engagement
Fulltime preferred
You should be available at least 4 days/week.

Remote
Fully possible
You can work fully in remote.

Budget
max. 80€ per hour
incl. Uplink fee

Onsite locations
Berlin


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