Data Engineering Werkstudent/ Working Student

vor 2 Monaten


BerlinKreuzberg, Deutschland Haensel AMS GmbH Vollzeit

**Join Our Team**

We have successfully managed steady growth over the past 9 years and want to continue our growth curve in the EU und US. We embrace innovation and are proud to have a dynamic, team focused culture.

We are an equal rights employer, with flat hierarchies and a focus on the team. Our values are team spirit, willingness to learn and constant improvement, honesty, trust, taking initiative and ownership, and last but not least having fun.

If this excites you as much as us then we would like to hear from you

Currently, we are looking to fill a vacancy for a

**Data Engineering Werkstudent/ Working Student (f/m/d)**

**possibility to combine the job with a Master thesis**

**What you should bring**:

- Strong experience in Python and SQL
- Some experience with AWS, GCP or Azure is preferable
- Nice to have skills are: REST APIs, HTML, CSS, JavaScript
- The ability to be both a creative thinker and a technical problem-solver
- A keen eye for attention to detail

**Your Role**:

- Support the Data Engineering team in maintaining and improving our data processing pipelines
- Help ensuring high reliability and quality of data in our ETL, DWH and ML Systems
- Work within project teams of 2-3 people

**What can you further expect from us**:

- Competitive salary
- Flexible working hours
- Education budget
- Very international environment
- Being part in a highly motivated and outstanding talented team

**Want to join us? Send us your CV**

**Next steps in the hiring process are**:
(1) a small challenge,
(2) a video call,
(3) a personal interview at our office in Berlin,
and finally (4) signing the contract and **making math rock** ;-)

**Benefits**:

- Free drinks
- Flexible working hours
- Discounted/free food

**Job Types**: Part-time, Temporary, Internship
Contract length: 12 months

Pay: 1.080,00€ per month

Expected hours: 20 per week

**Experience**:

- Python: 2 years (required)
- SQL: 1 year (required)

Work Location: In person


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