EV

Data & AI Engineer

Hiring from
Spain
Work type
Hybrid
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Ventós Group is an international company specialized in the distribution and production of Essential Oils & Aroma Chemicals with the Head Quarters located in Barcelona, Spain. The group has 9 subsidiaries around the world.


We are building Ventós’ Data & AI function and are looking for someone who wants to play an active role in its development from the very beginning.


This hands-on role combines data engineering with a strong focus on analytics, BI and applied Machine Learning. We are looking for someone with professional experience, a solid technical foundation, quantitative and analytical skills, and an interest in using data to answer business questions.


You will work directly with the Data & AI Manager, in coordination with IT, business teams and technology partners. You will help turn data from our ERP and other systems into trusted models, analysis and solutions that support real business decisions.


Responsibilities:

  • Explore and understand data from the ERP and other corporate systems, identify data quality inconsistencies, and help resolve them.
  • Build and maintain data loading, transformation, and validation processes.
  • Analyze commercial data on customers, products and sales to identify patterns, changes in behavior and opportunities for the business.
  • Contribute to the design and evolution of data models, semantic models and consistent business metrics.
  • Develop and enhance Power BI reports, models, and dashboards, as well as existing Analysis Services cubes, troubleshooting issues and incorporating new business requirements.
  • Use SQL and Python to prepare, validate and analyze data, and communicate findings clearly.
  • Develop and evaluate statistical, predictive or optimization models for relevant business questions, comparing results with suitable baselines.
  • Participate in prototypes and use cases involving ML, AI agents connected with data, APIs, and corporate tools.
  • Create automated tests and evaluation mechanisms for data, analytics and AI solutions
  • Document developments and work with version control.


Requirements

  • A minimum of 2 years of professional experience in data, analytics, or artificial intelligence projects, or in software development strongly related to data. Ideally, we are looking for profiles with between 2 and 4 years of experience.
  • A university degree or master’s degree in a technological, quantitative, or data-related field, or equivalent experience.
  • Experience working with databases, data transformation, and ETL/ELT processes.
  • Strong knowledge of SQL and Python, good software development practices, and experience working with Git.
  • Strong analytical skills and an interest in understanding what data means and how business decisions are made.
  • An interest in artificial intelligence (ML) and LLMs. If you have worked on any projects using these technologies, even personal ones, we would love to hear about them.
  • Curious and analytical, with the patience to investigate problems carefully and attention to detail.
  • Self-motivated and eager to learn, able to explain findings clearly and ask for context or help when needed.


Technology Environment

You will work in an environment that includes, among others, the following technologies:

  • SQL Server, PostgreSQL, and Microsoft Analysis Services.
  • Power BI.
  • Python and FastAPI.
  • Visual Studio Code and Visual Studio.
  • Git.


Nice to Have

You are not expected to have expertise in all of these areas, but experience or exposure to any of the following would be a plus:

  • Azure or Microsoft Fabric.
  • Dimensional modeling and semantic layers.
  • REST APIs and data service development.
  • Docker and Linux.
  • ERP systems or Dynamics 365 Business Central.
  • Applied statistics, Machine Learning, inference, customer or product segmentation, or optimization.


Additional Information

We offer a benefits package which includes:

  • Remote work: 1 full day and 2 afternoons per week.
  • Flexible working hours.
  • Free language classes and access to other training courses.
  • Health insurance.
  • Shared spaces for after-work activities.
  • Subsidized meals and breakfast service.
  • Corporate paddle tennis court for employees and their families.


Do you think your professional profile fits and this could be a good project for you? Send us your application and tell us why!

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