Data Engineer (m/w/d) at EUROPARTS

Berlin, Berlin, Germany -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 26

Salary

50000.0

Posted On

19 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Your tasks

As a Data Engineer, you are responsible for building, developing, and reliably operating modern data platforms and data pipelines. You ensure that data from diverse sources is efficiently integrated, processed, stored, and made available for analytics, reporting, machine learning, and operational applications.

You will work closely with data analysts, data scientists, software engineers, IT and the specialist departments.

Your tasks

Development and operation of scalable ETL/ELT data pipelines
Connecting and integrating data from different sources such as databases, APIs, files and cloud systems.
Development and enhancement of data warehouses, data lakes, and lakehouse architectures
Transformation, cleansing and validation of large data sets
Ensuring data quality, data consistency and data availability
Development and optimization of data models for reporting and analytics
Automation of data processes and workflows
Monitoring and optimization of existing data pipelines with regard to performance, stability and costs
Implementation of monitoring, logging and alerting solutions
Implementation of requirements for data protection, security and governance
Documentation of data flows, interfaces and technical solutions
Collaboration with data analysts and data scientists in providing suitable data
Support in developing a modern and scalable data platform

Your profile

Technical requirements:

Must-have

Professional experience in the field of Data Engineering, Software Engineering or Data Platform Engineering
Excellent knowledge of SQL
Good programming skills, preferably in Python
Experience with relational databases and data modeling
Experience with ETL/ELT processes and data pipelines
Understanding of data warehouse and data lake concepts
Experience with Git and modern development processes
Basic understanding of cloud technologies

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Responsibilities