Data Engineer – Software Engineer

JR Spain; Toledo; Híbrido; EUR 40.000 - 65.000; Jornada completa

Descripción de la vacante

A technology firm in Toledo is seeking a hybrid Data Engineer and Software Engineer to develop impactful, data-driven systems. This hands-on role integrates technologies like Python and cloud platforms, focusing on building APIs and maintaining backend systems. Ideal candidates will have solid experience in software development and familiarity with tools such as Kubernetes, Azure, and CI/CD practices.

Formación

• Strong experience in software development, ideally with a background in data platforms.
• Solid knowledge of Python, including building and consuming APIs.
• Experience deploying services in containerized environments (Kubernetes).

Responsabilidades

• Design, build, and maintain backend systems as well as process and move data at scale.
• Implement AI, BI, and data/API-driven solutions in e-commerce use cases.

Conocimientos

Python

SQL

RESTful APIs

Kubernetes

CI/CD

Azure

Herramientas

Spark

Databricks

Docker

GitHub Actions

Prometheus

Grafana

Descripción del empleo

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Client:

Lawrence Harvey

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

612900996451926016032460

Job Views:

2

Posted:

23.07.2025

Expiry Date:

06.09.2025

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Job Description:

Are you passionate about building data-driven systems with real business impact? We are looking for a hybrid profile between a Data Engineer and a Software Engineer — someone who feels at home working with Python, building and consuming APIs, and deploying production-ready solutions in cloud-native environments.

Your Mission

You’ll be part of a multidisciplinary tech team focused on implementing AI, BI, and data/API-driven solutions that power critical e-commerce use cases — from personalization engines to real-time insights and platform intelligence.

This role is hands-on and engineering-heavy: we’re looking for someone who can design, build, and maintain backend systems as much as process and move data at scale.

Tech Stack You’ll Work With

• Languages: Python (advanced), SQL
• APIs: RESTful APIs, FastAPI/Flask
• Cloud: Azure (preferred), AWS or GCP experience also valued
• Data Tools: Spark, Databricks, Delta Lake
• Orchestration: Airflow, Azure Data Factory
• Containerization: Docker, Kubernetes
• CI/CD: GitHub Actions, Azure DevOps, Jenkins
• Monitoring/Logging: Prometheus, Grafana, ELK stack

What We’re Looking For

• Strong experience in software development, ideally with a background in data platforms
• Solid knowledge of Python, including building and consuming APIs
• Experience deploying services in containerized environments (Kubernetes)
• Familiarity with CI/CD pipelines and agile workflows
• Experience working with cloud platforms (Azure preferred)
• Ability to translate business requirements into scalable tech solutions
• Team player with a product mindset and strong communication skills