Cívica
Cívica
Cívica is a Spanish technology consultancy founded in 2008 that helps large national and international companies use data and software to improve decision-making, innovation and growth. Its multidisciplinary teams work across data engineering, data science, artificial intelligence, analytics, data governance and software development, creating tailored solutions through a human-centered approach. Cívica operates from offices in Granada, Madrid, Málaga and Sevilla and promotes talent development through its “People Beyond Tech” philosophy.

Senior Data Engineer, Dataiku & Machine Learning — Spain (Remote)

Senior Data Engineer responsible for building Dataiku workflows and developing machine learning models. Help Cívica deliver data solutions that support the digital transformation of large organizations.

Description

  • Build, improve, and maintain data workflows in Dataiku Flow
  • Create efficient, scalable, and maintainable analytical processes and machine learning models
  • Use Python and SQL to extract, transform, clean, and model large datasets
  • Apply statistical, sampling, and machine learning methods to produce predictive models
  • Define validation approaches and assess model performance
  • Maintain the quality, consistency, reliability, and interpretability of analytical outputs
  • Work with stakeholders and business teams to turn needs into technical specifications and analytical solutions
  • Connect data, models, and analytical processes across multidisciplinary teams
  • Follow development standards and programming practices that support quality, maintainability, and reproducibility
  • Record workflows, processes, models, and analytical findings
  • Make data assets easier for the team to understand, maintain, and reuse

Requirements

  • Substantial experience with Dataiku DSS
  • Strong working knowledge of Python and SQL
  • Practical experience with Python libraries including Pandas, NumPy, and scikit-learn
  • Understanding of statistics, including sampling, distributions, and hypothesis testing
  • Knowledge of supervised and unsupervised machine learning
  • Ability to validate and assess results using performance metrics
  • Ability to examine result quality and identify potential bias
  • Business orientation is preferred
  • Strong communication skills are preferred
  • Comfort working collaboratively is preferred
  • Analytical ability and critical thinking are preferred

Benefits

  • Permanent employment with stability from the start
  • Innovative projects using modern technology
  • Ongoing training and professional development
  • Flexible budget for courses, certifications, and English lessons
  • Knowledge sharing and collaborative learning through tribes and communities
  • 23 working days of annual leave, plus one additional day every two years of service up to 30 days
  • €562.50 annual remote-work allowance
  • Flexible compensation for training, meals, transport, childcare, and more
  • Company-provided computer, chair, monitor, keyboard, mouse, and footrest
  • Office library of books and games in Granada
  • WellHub access with reduced-price sports activities
  • IBenefits discounts on leisure, health, fashion, and sports
  • Financial support for shared hobbies with colleagues
  • Surprise breakfast delivered to your home for your birthday
  • Support and celebrations for maternity and paternity
  • Recognition for sporting challenges
  • Sports groups and cultural events
  • Company-funded Civicerves
  • Christmas meal
  • Cívica Day for partners and children

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