Big Data engineer

• Analysing corporate data to identify trends, patterns, risks and opportunities for improvement that drive decision-making.
• Creating dashboards, reports and key performance indicators using visualisation tools that facilitate business interpretation.
• Design and develop data integration and transformation processes (ETL/ELT) to ensure data availability and reliability.
• Define and build data models aligned with the organisation's analytical needs.
• Ensure the quality, consistency and traceability of data throughout its entire lifecycle.
• Work with economic, financial and operational information, ensuring data consistency and correct reconciliation.
• Collaborate closely with the various business areas to understand their needs and translate them into high-value analytical solutions.
• Participate in data governance initiatives, contributing to the efficient and structured management of corporate data.
• Identify opportunities to incorporate Artificial Intelligence and language models (LLMs) into corporate processes.
• Drive initiatives for automation, innovation and continuous improvement within the data ecosystem. Promote a cross-functional view of processes and data, encouraging collaboration between departments.

Do you have experience in SQL?, Are you looking for an innovative and established organisation where you can develop your career? Are you passionate about turning data into real impact? This is your chance!, Previous experience in all the areas described is not essential for this role. We particularly value the ability to learn, intellectual curiosity, a proactive approach and a keen interest in further developing your knowledge of data analytics and artificial intelligence.

We are looking for a professional with analytical skills, critical thinking and a problem-solving mindset. The ability to conceptualise, synthesise and draw conclusions from data, as well as adapt messages to different audiences, and experience in data analysis and exploitation.

Knowledge and experience of the following would be required:

• Data visualisation tools (Spotfire, Power BI or similar).
• Programming in Python and advanced SQL.
• Design and development of ETL processes
• Modelling of relational and analytical databases.
• Data governance, data quality and metadata management.

The following will be considered an advantage:

• Knowledge of applied statistics and quantitative analysis.
• Ability to interact with business users and translate functional requirements into technical solutions.
• Familiarity with Artificial Intelligence, Generative AI and language models (LLMs), as well as their practical applications in business environments.

Pulled from the full job description

• Dental insurance, Hybrid working model and 8 weeks per year of teleworking outside your usual geographical area.

Flexible start and finish times, and intensive working hours Fridays and in summer.

Personalized career plan development, training and language learning support.

National and international mobility. Do you come from another country? We can offer you a relocation package.

Competitive compensation with ongoing reviews, flexible compensation and discount on brands.

Wellbeing program: Health, dental and accident insurance; free fruit and coffee, physical, mental and financialhealth training, and much more!

• ️ In our recruitment processes you will always have telephone and personal contact, face-to-face or online, with our talent acquisition team. In addition, bank transfers and bank cards will never be requested. If you are contacted through any other process, please write to our team at privacy@gmv.com

️We promote equal opportunities in recruitment, and we are committed to inclusion and diversity.