Ofertas de empleo para Desarrollo de Software en Araba

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. Office

The University of Hong Kong

Apply now Ref.: 534030

Work type: Full-time

Department: Faculty of Business and Economics (07000)

Categories: Executive / Technical / Support

Hong Kong

Executive Assistant, Career Development and Training (Masters Programmes) (at the rank of Clerk II) in the Faculty of Business and Economics (Ref.: 534030) (to commence as soon as possible, on a two-year fixed-term basis, with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal)  

Applicants should have a bachelor’s degree, preferably with post-qualification working experience in tertiary institutions, in supporting career development activities or event management. They should be proficient in both English and Chinese (including Putonghua) with excellent interpersonal, organizational, and IT skills.  They should also be a good team player, attentive to details, self-motivated. Moreover, applicants would genuinely enjoy communicating with students and be committed to supporting their growth and career development.

The appointee is responsible for offering administrative and logistical support to student career services. He/she will handle the entire cycle and logistics of learning and development workshops. The appointee will manage the logistics flow of on-site and online learning sessions, and support the groundwork, including preparing and organizing promotional materials for various initiatives such as learning platforms, learning and development related activities. Additional duties involve managing the job posting on the job portal. The appointee will liaise with students and other stakeholders. He/She will perform ad-hoc duties as assigned by the supervisor and may be required to work outside normal office hours.  The appointee will work at the Faculty’s Cyberport campus.  Shortlisted candidates will be invited to attend a written test and an interview. 

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. 

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V.  Review of applications will commence as soon as possible and continue until January 11, 2026, or until the post is filled, whichever is earlier.

Advertised:Dec 22, 2025 (HK Time)

Applications close:Jan 11, 2026 (HK Time)

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Company Description

Talan - Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we´ve built a strong presence in the IT and consulting landscape, and we´re on track to reach €1 billion in revenue this year.

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- Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

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!