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, versátil 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. Flexible, 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
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