Data & AI Architect

Avincis; Murcia; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading Aerial Emergency Services operator is seeking a Data & AI Architect to design scalable data solutions and optimize data architectures. Candidates should have experience in Big Data environments, a strong background in Python and SQL, and excellent communication skills. Join a mission-driven team in Spain, where you will also benefit from competitive remuneration and a focus on your growth.

Servicios

Competitive remuneration

Health insurance

Relocation support

Formación

• At least 12 months of hands-on experience working in Big Data Environments.
• Proven experience designing data and software architectures.
• Fluent in English, both written and spoken.

Responsabilidades

• Gather requirements from business stakeholders.
• Design, build, and maintain scalable data pipelines.
• Manage and optimize data architectures for AI workflows.

Conocimientos

Data engineering

Big Data architectures

Machine Learning

Problem-solving

Communication

Educación

Bachelor's or Master’s degree in relevant field

Herramientas

Python

SQL

Pyspark

Azure Data Factory

Power BI

Descripción del empleo

Are you ready to make a significant contribution to both saving lives and protecting communities?

At Avincis, we’re dedicated to meaningful work with a clear purpose. We're seeking talented individuals passionate about making a difference while growing their careers in a dynamic environment. Avincis is Europe’s leading Aerial Emergency Services operator, providing critical emergency services with a fleet of more than 220 aircraft and a team of over 2400 professionals. Join us and be part of a mission to protect lives, safeguard communities, and make a positive impact.

As a Data & AI Architect

You will be responsible for gathering requirements from stakeholders, designing the architecture of the solution, designing the data architecture, analyzing risks and mitigations, managing data pipelines, and supporting the development and deployment of AI-driven solutions.

Main responsibilities

1. Gather requirements from business stakeholders.
2. Translate business needs into technical solutions.
3. Track the progress of implementations.
4. Design, build, and maintain scalable data pipelines and ETL processes.
5. Manage and optimize data architectures to support AI and machine learning workflows.
6. Analyze and optimize the performance of data pipelines.
7. Propose and develop valuable reporting solutions based on internal customer requirements and business needs.
8. Ensure data quality, integrity, and compliance with internal standards and regulations.

Tech stack

Data Platform: Azure Fabric. Data management tools: Pyspark, SQL. Programming language: Python. Cloud tools: Azure Devops, Azure Boards, Azure Data Factory, Blob Storage, Azure Key Vault. Reporting tool: Power BI. Other tools: Git, Terraform.

Minimum requirements

• Bachelor’s or Master’s degree in Mathematics, Physics, Computer Science, Engineering, or a related field.
• Fluent in English, both written and spoken.
• At least 12 months of hands-on experience working in Big Data Environments.
• Proven experience designing data and software architectures.
• Working knowledge of Python, SQL, and Pyspark (also valid Spark in Scala or R).
• Familiarity with platforms like Databricks or Microsoft Fabric for scalable data and analytics solutions.
• Experience working in cloud environments, preferably Microsoft Azure; exposure to AWS or others is a plus.
• Understanding of modern data storage approaches (data lakes, lakehouses, cloud-native warehouses).
• Awareness of data governance, data quality, and security considerations in enterprise settings.

Core competencies

• Solid knowledge of data engineering and modern big data architectures (e.g., lakehouse, Data Warehouse, medallion architecture).
• Experience building pipelines for AI solutions.
• Designing scalable big data models aligned with business needs.
• Optimizing big data pipelines in real-world scenarios.
• Strong understanding of Machine Learning concepts and their application.
• Familiarity with MLOps practices (e.g., model versioning, monitoring, automation) is a plus.
• Proficient problem-solving skills and ability to navigate complex data environments independently.
• Excellent communication skills for working with cross-functional teams.
• Ability to manage multiple tasks and work independently in dynamic settings.
• Comfort using data visualization tools (e.g., Power BI) to support insights delivery.

Location flexibility

You may be based in any of our offices located in Spain, Italy, Portugal, Sweden, or Norway, depending on your residence and availability.

Why Avincis?

With decades of experience in aerial emergency services, Avincis is a leader in the industry. Joining us means contributing to a company with a rich history of expertise, where your career can flourish and you can mentor others.

We value innovation and empower employees to bring creative ideas forward. You will have opportunities to implement innovative solutions and learn from experienced professionals committed to your growth.

We offer competitive remuneration, health insurance, and relocation support. Your well-being is our priority as you embark on this rewarding journey.

Join us

Become a valued member of our close-knit Avincis Family, where every team member plays a vital role in our mission. If you're ready to combine purpose with growth in a dynamic environment, we invite you to join us.

Take the next step in your career with Avincis – where meaningful work and personal development converge.

Apply today and be part of something extraordinary!

Note: As a company committed to equal opportunities, AVINCIS evaluates applications based on objective criteria, regardless of gender.

In accordance with GDPR and Organic Law 3/2018, we inform you and request your consent to process your data for selection purposes. You may exercise your rights by contacting us at the provided address or email. The data controller is A-03125010, located at Aeródromo de Mutxamel, Partida la Almaina, nº92, 03110, Mutxamel, Alicante. We will only use your data for the recruitment process and maintain confidentiality.