Data Engineer (Hybrid) — Build Scalable, Impactful Data Pipelines

Ytech; Salamanca; Híbrido; EUR 50.000 - 65.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Career development opportunities

Knowledge sharing culture

Growth opportunities

Descripción de la vacante

Ytech is seeking a Data Engineer to join a challenging data-driven project in a hybrid model (3 days on-site per week) in Salamanca, Spain. You will design, build, and optimize scalable data pipelines and APIs to support business operations and decision-making.

Fluency in English and strong collaboration skills are essential to engage with stakeholders across teams. You will work with Python-based data processing, SQL databases, REST and SOAP APIs, and modern tools like dbt and Git in an Agile

Formación

• At least 3 years of experience in Data Engineering.
• Experience in the Financial Services sector preferred.
• Knowledge of Data Architecture and Data Modeling.
• Experience with Python for data-oriented programming.
• Experience integrating REST and SOAP APIs in ETL processes.

Responsabilidades

• Participate in requirements refinement and design data solutions.
• Develop data pipelines, processing workflows, and APIs within the data platform.
• Perform development testing and document results.
• Support SIT and production deployments.
• Analyze and resolve production incidents in data pipelines.
• Maintain accurate technical documentation in User Stories and Data Catalog.

Conocimientos

Teamwork

Results-driven

Agile experience

Communication

Analytical thinking

Herramientas

Git

CI/CD

dbt

SQL

REST APIs

SOAP APIs

Apache Spark

Data APIs

Descripción del empleo

Ytech is seeking a Data Engineer to join a challenging data-driven project in a hybrid model (3 days on-site per week) in Salamanca, Spain. You will design, build, and optimize scalable data pipelines and APIs to support business operations and decision-making.

Fluency in English and strong collaboration skills are essential to engage with stakeholders across teams. You will work with Python-based data processing, SQL databases, REST and SOAP APIs, and modern tools like dbt and Git in an Agile