(Senior) Data Engineer (m / f / d)

Schustermann & Borenstein GmbH; Burgos; Presencial; EUR 35.000 - 55.000; Jornada completa

Descripción de la vacante

A leading company in data engineering seeks a Data Engineer to enhance their data pipelines and cloud architectures. You will work with cutting-edge tools while supporting a collaborative and inclusive environment. Ideal candidates will have robust SQL and Python skills, a quantitative degree, and be willing to learn continuously. This position also offers hybrid or full remote flexibility and an attractive salary package.

Servicios

Hybrid or full remote working

Great employee discounts

30 days of vacation

Formación

• Bachelor's degree in computer science, mathematics, engineering or comparable.
• Experience with SQL and Python; knowledge of Airflow is a plus.
• Fluency in English; German is a nice to have.

Responsabilidades

• Develop and maintain data processing pipelines for analytics and machine learning.
• Extract data from various databases and APIs.
• Maintain and expand CI/CD pipelines.

Conocimientos

SQL

Python

Linux

Airflow

Cloud Data Architectures

Data-driven Business Philosophy

Educación

Bachelor's degree in quantitative subject

Herramientas

Kubernetes

dbt

Kafka

Google Analytics

Salesforce

AWS

Azure

Descripción del empleo

• Develop and maintain ETL processing pipelines for batch and near-real-time data as well as analytical / machine learning workflows.
• Work with a modern stack including Airflow, Kubernetes, Starburst, dbt, and Kafka.
• Design, implement, and extend our enterprise data warehouse that will support our company's commitment to analytics and a data-driven business philosophy.
• Extract data from various transactional databases, third-party tools, and APIs, e.g., Google Analytics (BigQuery), Google AdWords, Salesforce, MSSQL, amongst others.
• Write code that writes code; automatically generate and extend pipelines.
• Maintain and expand our CI / CD pipelines and utilize GitLab pipelines to automate our testing and deployment.

Minimum Requirements :

• At least a bachelor's degree in a quantitative subject, e.g., computer science, physics, mathematics, engineering, or comparable.
• Profound knowledge of SQL, particularly in connection with dbt; conceptual knowledge of RDBMS and Columnar Database concepts is a plus.
• Fluency in Python and experience in Linux platforms; working knowledge of Airflow is a plus.
• Experience with cloud data architectures (AWS or Azure) is preferred.
• Willingness to learn and keep up to date with relevant technologies.
• As a team player, work independently and rigorously while improving the status quo.
• Excellent English skills; German is a nice to have.

At BestSecret, diversity isn't just a trend – it's our professional philosophy. We are dedicated to cultivating an inclusive workplace where everyone's unique talents and backgrounds are celebrated. Applicants from all backgrounds, experiences, and perspectives are welcome to join us in our mission towards a more vibrant and inclusive future.

Benefits :

• Become part of our success story and work in an innovative working environment.
• Hybrid or full remote working gives you a high degree of flexibility.
• Great employee discounts for your perfect style.
• Highly motivated colleagues and a thorough induction phase.
• Attractive salary package and 30 days of vacation.

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