Senior AI/Data Engineering Consultant

The Senior AI/Data Engineering Consultant at Telefónica Tech is responsible for delivering enterprise-level solutions using the Microsoft Azure technology stack. This role involves engaging with clients to understand their requirements, supporting team members in their professional growth, and contributing to community development both internally and externally. Additionally, consultants work on projects in AI, Data Science, and Data Engineering, ensuring all customer expectations are met.

To qualify for the Senior AI/Data Engineering Consultant role at Telefónica Tech, candidates should possess industry experience in delivering Microsoft Azure solutions, with a solid understanding of AI, Data Science, and Data Engineering. Strategic decision-making skills, excellent communication abilities, and a willingness to learn are also essential. Ideally, candidates will have a degree in computer science, data analysis, or a related field, and Microsoft certifications, while not mandatory, are highly encouraged.

A successful Senior AI/Data Engineering Consultant at Telefónica Tech should be proficient in at least three core technologies, such as Data Manipulation (SQL, Pandas, Pyspark), Azure AI services, and Data Science tools like Python or Databricks. Familiarity with large language models (LLMs), Azure infrastructure, and containerization technologies like Docker and Kubernetes can greatly enhance your capabilities within this role.

Telefónica Tech is dedicated to fostering a culture of continuous learning and development for its Senior AI/Data Engineering Consultants. The company encourages employees to share knowledge, investigates new technologies collectively, and provides opportunities for mentorship. Additionally, resources and support are available to pursue certifications such as current Microsoft or Databricks certifications to further enhance technical expertise.

The work culture at Telefónica Tech is open, trusted, and bold. As a Senior AI/Data Engineering Consultant, you will experience a collaborative environment where innovation is celebrated, and diverse perspectives are valued. The company emphasizes teamwork, mentorship, and community engagement, creating a workspace where employees feel empowered to express their ideas and contribute positively to the organizational culture.

In answering this question, focus on specific Azure projects you have worked on, detailing your role and the technology stack utilized. Highlight your familiarity with Azure AI services, data engineering tools, and any relevant past experiences where you successfully delivered client-facing solutions.

Effective communication is key in a client-facing role. Describe your approach to understanding client needs, whether through active listening, regular check-ins, or adapting your language to suit client technical knowledge. Sharing a specific example where clear communication led to successful project outcomes can provide insights into your skills.

Discuss your commitment to continuous learning through various channels such as online courses, industry conferences, and participation in tech communities. Mention any specific technologies or trends you’ve recently explored, demonstrating your proactive approach to staying ahead in the fast-paced tech environment.

When answering this question, focus on detailing the challenge, the steps you took to address it, and what the outcome was. Emphasize your problem-solving abilities and how your leadership and communication skills helped the team overcome obstacles successfully.

Share examples of how you have guided junior colleagues in their professional development. Highlight specific mentoring tactics you employed, the positive outcomes from your guidance, and how it contributed to the overall team success and morale.

Explain your methodology for data manipulation, emphasizing your proficiency with tools such as SQL or Pandas. Discuss how you identify, clean, and preprocess data effectively before conducting analysis. Providing a relevant example will showcase your practical experience.

Reflect on the job description and align your response with the focus areas of Telefónica Tech, such as AI, Data Engineering, and Data Science projects. Talk about your interest in utilizing these areas to create innovative solutions while contributing to the company’s mission.

Share your prioritization strategy that may include leveraging project management tools, setting clear deadlines, and maintaining communication with team members or clients. Emphasizing your organizational skills and time management abilities will illustrate your capability in a multi-project environment.

Articulate your vision for contributing positively to the team and company. This could range from driving innovation through technology advancements, enhancing client satisfaction with your solutions, or empowering team members through mentorship initiatives.

Communicate your enthusiasm for Telefónica Tech's mission and values, emphasizing how they align with your personal and professional goals. Mention specific aspects of the company culture or its technology focus that resonate with you and inspire your desire to contribute to its growth.