Junior Analytics Engineer

We are looking for a junior person, with real experience modeling data with dbt and a desire to develop their career in Data within a technology company.

For us, the most important things are:

• Degree in Engineering, Statistics, Data Science, Mathematics, or equivalent.

• Real experience modeling data with dbt.

• Advanced SQL: CTEs, window functions, and query optimization on analytical models.

• Sufficient Python for scripting, analytics, automation, and API consumption.

• Git and collaborative workflows (pull requests, code review).

• Real interest in applied AI: use of LLMs to accelerate development and curiosity about applying it to the data domain.

• Good communication with non-technical teams.

• Fluent Spanish and English.

Bonus points if...

You have integrated language model APIs into real workflows, worked with orchestrators like Airflow or Dagster, have notions of RAG (Retrieval-Augmented Generation) to connect LLMs with internal data, or have used semantic layers or metric definition tools.

Zenova is a tech scale-up based in Madrid that is transforming energy management for large companies and real estate groups through software, data, and AI. We build technology to better understand energy, anticipate needs, and make smarter decisions.

Behind it all is a great product, a lot of ambition, and an incredible team that pushes every day to make possible something that, until recently, seemed impossible. We are building the technology that will define the future of energy. And every day we are getting closer.

We are looking to bring an Analytics Engineer (Junior) into our new Data team, reporting directly to the Head of Data.

We are building the Data team from scratch and are looking for one of its first hires: an analytical, curious person eager to explore how AI and data can be applied to analytical work.

This is not a reporting role: it is a data design role, where the model you build today is the source of truth the business will use tomorrow.

You don't need to arrive knowing everything. We look for a good foundation in SQL, Python, and dbt and, above all, a desire to understand the business and build something with real impact.

You will be part of a team that exists to turn business questions into reliable answers, promote a data culture, and take the product to the next level.

You will work very closely with business, product, and other teams, designing the data models that the entire company will use.

As you learn, you will take on your own models, metrics, and projects with greater autonomy and responsibility.

Data modeling

• Design and build data models in dbt, applying layered architecture.

• Design Zenova's semantic layer of metrics.

• Build and maintain the data catalog, and help with its implementation and adoption within the organization.

Business & data culture

• Collaborate with business areas to translate ambiguous questions into data models with a clear and defensible definition.

• Support non-technical teams in the use of data and metrics.

Applied AI

• Explore and implement AI solutions applied to data, both for internal tools and for products and features for our customers.

• Use LLMs to accelerate your own development.

If you enjoy turning business questions into reliable data models, are keen to explore how AI is changing analytical work, and want to help build a Data team from day one, we want to meet you.

Don't stop applying because you don't meet 100% of the points in the offer. We look for potential, curiosity, and a desire to learn. The rest we can build together.

📍 Madrid · Hybrid model (3 days/week)