Technical Expert – Data & AI

Talan; Málaga; Híbrido; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A global consulting company in Málaga is seeking a Technical Expert – Data & AI to lead technical initiatives in data and artificial intelligence. The ideal candidate will have extensive experience in architecting and implementing data solutions and AI models, ensuring they meet security and regulatory standards. This role offers a hybrid working environment with benefits including private medical insurance and career development opportunities.

Servicios

Private medical insurance

Life insurance

Language lessons

Training and career development

Formación

• Minimum of 5–8 years of relevant experience in advanced technical roles.
• At least 3 years designing data/AI solutions in complex environments.
• Hands-on experience implementing data pipelines and ML models.

Responsabilidades

• Define standards for data and AI infrastructures.
• Participate in the implementation of machine learning models.
• Evaluate new technologies to optimize the data ecosystem.
• Support the design of data and AI technical solutions.
• Ensure compliance with data governance and security standards.
• Mentor architects and data engineers.

Conocimientos

Python

SQL

AWS

Azure

Data Governance

Educación

Relevant experience in advanced technical roles

Herramientas

Spark

Hadoop

Kafka

Airflow

Descripción del empleo

Job Description

The Technical Expert – Data & AI is responsible for providing technical leadership, advanced expertise, and deep knowledge in data and artificial intelligence to design, build, optimize, and support data and AI platforms, pipelines, and architectures. The role acts as a technical reference within the CIO organization, ensuring that data and AI initiatives are robust, scalable, secure, and aligned with business strategy and the group’s data governance framework.

Key Responsibilities

Platform leadership, build, and maintenance :

Define standards, best practices, and frameworks for the construction, deployment, and maintenance of data and AI infrastructures (on-premises, cloud, or hybrid).

ML / AI model implementation and operations :

Participate in the implementation and deployment of machine learning, deep learning, and AI models, ensuring integrity, performance, monitoring, and ongoing maintenance.

Technical validation and tool evaluation :

Evaluate new technologies, tools, and platforms (open source, commercial, cloud) to optimize the data / AI ecosystem; lead proof-of-concepts (PoCs) and benchmarking activities.

Architecture definition and solution design support :

Support the design of data and AI technical solutions — including data pipelines, data lakes / warehouses, streaming, MLOps, and analytics platforms — to meet strategic objectives.

Integration and deployment :

Coordinate the integration of data and AI solutions with other corporate systems, ensuring compatibility, security, and efficiency.

Governance, security, and compliance :

Ensure solutions comply with data governance, security, privacy, and regulatory standards (e.g., data regulations, internal policies).

Technical support and mentoring :

Act as a technical point of reference by resolving questions from architects, data engineers, and data scientists; guiding and reviewing technical designs; and promoting best practices and standards.

Cross-functional collaboration :

Work closely with business, analytics, cybersecurity, infrastructure, and compliance teams to ensure alignment between business needs, regulations, and technical capabilities.

Documentation and technical communication :

Document architectures, processes, and technical decisions; communicate risks, technical decisions, and project status to the CIO and relevant stakeholders.

Continuous innovation :

Stay current with emerging trends in AI, big data, MLOps, automation, cost optimization, and performance. Promote piloting of new technologies when appropriate.

Qualifications

• Minimum of 5–8 years of relevant experience in advanced technical roles related to data, big data, cloud, AI, ML, or data engineering.
• At least 3 years of experience designing and architecting data / AI solutions in complex environments (large-scale data, security / regulatory constraints, corporate environments).
• Hands‑on experience implementing data pipelines, data lakes / warehouses, ingestion processes, transformation, and batch and / or streaming processing.
• Experience deploying ML / AI models into production using MLOps best practices, including monitoring and maintenance.

Strong Technical Knowledge

Programming languages :

Python, SQL. Preferred : Scala, Java, R.

Platforms / Big Data / Cloud :

Experience with cloud services (AWS, Azure, GCP) or hybrid / on-prem environments. Knowledge of tools such as Spark, Databricks, Hadoop, Kafka, Airflow, Trino, etc.

Databases and modeling :

Relational and dimensional modeling; NoSQL databases (document, key‑value, columnar); data lakes and data warehouses.

Machine Learning / AI / MLOps :

ML / AI frameworks, training and inference pipelines, orchestration, containers (Docker, Kubernetes), deployment, monitoring, and model versioning.

Infrastructure & automation :

Infrastructure as Code (IaC), containers, orchestration, CI / CD pipelines, and automation tools.

Security and compliance :

Knowledge of data governance regulations, data protection, encryption, access control, and security best practices.

Additional Information

What do we offer you?

• Hybrid position based in Malaga, Spain
• Possibility to manage work permits.
• Permanent, full-time contract.
• Smart Office Pack so that you can work comfortably from home.
• Training and career development.
• Benefits and perks such as private medical insurance, life insurance, Language lessons, etc
• Possibility to be part of a multicultural team and work on international projects.

If you are passionate about data, development & tech, we want to meet you!