Data Engineer — Agile Pipelines & APIs for Finance

Softlanding; España; Híbrido; EUR 45.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Impactful data projects

Agile collaboration

Established data platform

Descripción de la vacante

Softlanding in Spain seeks an experienced Data Engineer to design, develop, test, and deploy data solutions within an Agile team. Translate business requirements into robust data pipelines, work with data platforms, APIs, and architectures, ensuring adherence to data standards.

The ideal candidate has 3+ years in data engineering, strong Python and SQL skills, experience with REST and SOAP APIs, Git and CI/CD, and the ability to collaborate with business stakeholders.

Formación

• Minimum 3 years of experience in Data Engineering.
• Experience in Financial Services is a plus.
• Experience working in Agile delivery teams.
• Strong Python for data processing; functional approach.
• Relational databases and SQL experience.
• Experience integrating REST APIs into ETL pipelines.
• Exposure to SOAP APIs for data integration.
• Git and CI/CD practices, multi-branch development.

Responsabilidades

• Translate business requirements into technical data solutions.
• Design and implement data pipelines and APIs.
• Develop data integration using Python, SQL, and APIs.
• Support SIT and testing activities in the environment.
• Manage production deployments and CI/CD processes.
• Troubleshoot data pipelines and REST API issues.
• Lead documentation at user story and data catalogue levels.
• Participate in Agile ceremonies.

Conocimientos

Python

Data architecture

Data modelling

SQL

REST APIs

SOAP APIs

Git & CI/CD

Herramientas

dbt

Apache Spark

Data APIs

Descripción del empleo

Softlanding in Spain seeks an experienced Data Engineer to design, develop, test, and deploy data solutions within an Agile team. Translate business requirements into robust data pipelines, work with data platforms, APIs, and architectures, ensuring adherence to data standards.

The ideal candidate has 3+ years in data engineering, strong Python and SQL skills, experience with REST and SOAP APIs, Git and CI/CD, and the ability to collaborate with business stakeholders.