Data Engineer

• Architect and manage robust data workflows and pipelines to ensure seamless integration across business functions.
• Design and implement AI-driven solutions to automate processes, enhance insights, and boost operational efficiency.
• Lead efforts in data cleaning, transformation, and integration to maintain data integrity and deliver high-quality outputs.
• Collaborate with cross-functional teams to define data strategies aligned with business objectives.
• Mentor and provide technical guidance to junior team members and interns.
• Identify and implement best practices in data engineering, analytics, and AI integration for scalable solutions.
• Troubleshoot and resolve complex data-related challenges.
• Support the development of an AI-first approach, identifying opportunities for automation and innovation.
• Document and maintain comprehensive data workflows for knowledge sharing and continuous improvement.

• 5+ years of professional experience in Data Engineering or related fields.
• Expert proficiency in Python programming and developing efficient, maintainable data pipelines.
• Advanced knowledge of SQL and relational databases, including optimization techniques.
• Proven expertise in AI integration, including machine learning pipelines and automation strategies.
• Strong analytical skills with the ability to translate data into actionable insights and business solutions.
• Significant experience in designing and deploying data-driven solutions to support business processes.
• Excellent communication and leadership skills, with the ability to influence and guide cross-functional teams.
• Proficiency in English; proficiency in Spanish is a plus.

Ideally, you also have:

• Deep understanding of ETL processes and end-to-end data workflow design.
• Knowledge of AI tooling, frameworks, and models for business process automation.
• Experience with data visualization and storytelling tools.
• Familiarity with version control systems such as Git, and CI/CD practices.
• Previous experience in designing data warehousing solutions.

At our company, we strive to create a culture of continuous learning, personal growth, and inter- national community involvement. We're passionate about providing our employees with the tools and resources they need to succeed, and we're confident that you'll love being part of our team!

• Working Hours We offer flexible working hours to accommodate your work schedule. 60% on remote and 40% at our offices in Madrid, Torre Europa.

• Meal allowances You can enjoy delicious meals on us, no matter if you are working remotely or on-site. *Option to use it for public transportation or childcare instead.

• Internet Compensation We cover the cost of your home internet connection, as we understand how essential connectivity is in the modern workplace.

• Training courses Our company is committed to helping our employees grow and develop their skills, which is why we offer a variety of industry- specific training courses and a learning channel.

• Gym Coverage Stay active and healthy with our 90% coverage benefit, which provides access to the nearby gym: Forus Selection to keep you energized throughout the day

• Health Insurance We take the health and well-being of our employees seriously, which is why we offer a comprehensive health insurance plan and the option to extend it to your spouse and children.

At Axpo Group, we are dedicated to fostering a culture of non-discrimination, tolerance, and inclusion. As an equal opportunity employer, we welcome applications regardless of race and ethnicity, gender identity and expression, sexual orientation, age, disability, as well as socioeconomic, cultural, and religious background. We are committed to ensuring a respectful and inclusive recruiting process and workplace for everyone.

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