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Analytics Engineer | Business Analytics & Data Quality - bilbao

Empowering people. Unlocking innovation.

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. Flexible, with reduced hours on Fridays

Language: English (C1), Spanish (B2)


Want to know more? Click here ️ and find out!


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Feel free to send us your profile, we are excited to meet you!


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.

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