Big Data engineer
Role details
Job location
Tech stack
Job description
- Analyse corporate data to identify trends and opportunities for improvement.
- Create dashboards and key performance indicators using visualisation tools.
- Design data integration and transformation processes to ensure data reliability.
- Participate in data governance initiatives., SQL Spotfire Power BI Descripción del empleo
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!
We are looking for a Senior Data Analyst to drive a data-driven culture across our corporate divisions. You will be part of the Data & Advanced Analytics team, helping to transform information into smarter, more strategic decisions.
You will be part of key initiatives in advanced analytics, data governance and artificial intelligence, driving continuous improvement by identifying opportunities and generating actionable insights. This role combines technical challenges with a strong business acumen, involving you in projects that have a real impact on the organisation's transformation and evolution., * 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.
Requirements
This role requires analytical skills and a problem-solving mindset, making a real impact on the company. The position offers a hybrid working model, flexible hours, and comprehensive benefits including health insurance and a wellbeing program., * Experience with data visualisation tools such as Spotfire or Power BI.
- Knowledge of designing ETL processes and relational databases.
- Familiar with data governance and metadata management., Analytical skills Problem-solving mindset Critical thinking Ability to translate functional requirements, 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. REQUIRED KNOWLEDGE AND EXPERIENCE:
- 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.
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.
Benefits & conditions
Hybridworking 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.
Personalised 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 financial health training, and much more!