Descripción de la oferta
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! See what people say about us Glassdoor Reviews 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.
