Senior Data Engineer (m/w/d)

Client Startup with the mission to enable companies to run the world’s most intelligent procurement – human and artificial.
Category Data Science
Published
Uplink fee 10% for 12 months More info
Job type Direct More info

Your tasks:
- Development of an intelligent data platform for procurement in close collaboration with the Lead Architect Data Platform and our founding CTO
- Define and build a data architecture that scales across multiple large enterprise companies running on AWS
- Create Fort Knox-like data security and monitoring setup with intrusion detection and continuous security testing
- Build scalable, serverless data ingestion pipelines from structured and unstructured data
- Combine data engineering with backend development to transform ingested data into our procurement data graph

Requirements:
- You love data and coding as well as testing- from the top-level architecture design down to the last line of code
- You are an AWS services expert for data lakes and data engineering (e.g. ETL/ELT pipelines, Kinesis, S3, Glue, Databricks, Spark on AWS)
- You build server-less event-driven services in Python, Scala and/or JavaScript
- You know how to run an AWS enterprise stack – deep knowledge of security (authentication and authorisation architecture) and data protection setups

Must have skills
Amazon Web Services, ETL, Python

Nice to have skills
JavaScript, Scala.js

Start date
Earliest: asap
Latest: Nov 16, 2020
You should start as soon as possible.

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 3 days/week.

Remote
Fully possible
You can work fully in remote.

Language requirements
English is totally fine.

Budget
80-100€ per hour
incl. Uplink fee

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