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With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow.

? People-first culture built on trust and real proximity.

Stable environment with turnover clearly below industry average.

International, high-impact projects powered by modern tech stacks.

€1,200 annual training budget per employee.

Real flexibility, not just a promise.

Continuous feedback culture with monthly follow-ups and annual 360º reviews.

Private health insurance, flexible compensation and Wellhub.

Active tech communities where knowledge is shared and innovation evolves.

A team that delivers and celebrates together.

Ready to grow with us? Take a look at this opportunity

At Capitole, we are looking for an Analytics Engineer to join an international data team focused on transforming data into business value.

We are looking for a professional with strong analytical skills, a business-oriented mindset and hands-on experience working with modern data platforms. The role combines Business Analytics, Data Quality and analytical modelling , contributing to both business decision-making and data-driven initiatives.

Responsibilities

- Transform business requirements into analytical solutions and actionable insights.
- Define KPIs and metrics to support data-driven decision making.
- Develop and optimize data solutions using Databricks, Python, PySpark and SQL .
- Improve data quality through validation processes, monitoring and issue resolution.




- Collaborate closely with business and technical stakeholders.
- Contribute to the development, deployment and monitoring of statistical and Machine Learning models in production environments.

Requirements

- 3-5 years of experience in Analytics, Data Analytics, Business Analytics or similar roles.
- Strong knowledge of Python and SQL .
- Experience with Databricks and PySpark .
- Experience working with business stakeholders and translating business needs into analytical solutions.
- Experience with statistical modelling or traditional Machine Learning techniques such as forecasting, regression, classification or clustering.
- Strong analytical thinking and problem-solving skills.
- Experience with Azure or AWS.
- Proactive mindset and willingness to take ownership.

Nice-to-have

- Experience in Data Quality and data governance.
- Familiarity with ML lifecycle management tools such as MLflow.
- Experience with Airflow or Azure Data Factory.
- Experience with data visualization tools.

Location: 100% Remote

Schedule: 40h/week. Versátil, with reduced hours on Fridays

Language: English (C1), Spanish (B2)

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The employee will adhere to information security policies:

-Will have access to confidential information related to Capitole and the project they are working on.

-Must comply with the security policies and internal policies of the company and the client.

-Must sign an NDA.

📌 Analytics Engineer | Business Analytics & Data Quality (España)
🏢 Capitole
📍 España