Technical Expert – Data & AI

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 groups 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 58 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!

Remote Work :

No

Employment Type :

Full-time