Data Ops Engineer for AI-Powered Finance Tools

Qonto; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading finance technology firm in Barcelona seeks a Data Ops Engineer to build and optimize data pipelines for machine learning tools. The role involves designing scalable data storage solutions and deploying model-serving systems. Ideal candidates have at least 3 years of experience in Python and data engineering, with strong SQL skills. Benefits include a competitive salary, meal vouchers, and health insurance. This position is based in Barcelona as remote arrangements are not available.

Servicios

Competitive salary package

Meal vouchers

Public transportation reimbursement

Health insurance

Access to mental health initiatives

Childcare benefits

Monthly team events

Formación

• Minimum 3 years of experience with Python and software engineering skills.
• Strong knowledge of batch and real-time pipeline design.
• A team player who bridges technical and product discussions.

Responsabilidades

• Build and maintain real‑time and batch end‑to‑end data pipelines.
• Design and optimise data storage and access patterns.
• Deploy and manage model‑serving systems.

Conocimientos

Python

Data engineering

SQL

Microservices

CI/CD

Herramientas

Kafka

Airflow

DBT

Snowflake

Descripción del empleo

A leading finance technology firm in Barcelona seeks a Data Ops Engineer to build and optimize data pipelines for machine learning tools. The role involves designing scalable data storage solutions and deploying model-serving systems. Ideal candidates have at least 3 years of experience in Python and data engineering, with strong SQL skills. Benefits include a competitive salary, meal vouchers, and health insurance. This position is based in Barcelona as remote arrangements are not available.