knowmad mood
knowmad mood
knowmad mood este o companie multinațională de transformare digitală și servicii tehnologice, care ajută organizațiile mari să își modernizeze operațiunile, experiențele clienților și platformele tehnologice. Activitatea sa reunește consultanța, dezvoltarea de software și expertiza tehnică în domenii precum canalele digitale și comerțul, UX/UI, aplicațiile mobile, platformele, datele și analiza, infrastructura cloud inclusiv AWS, inteligența artificială, blockchain, IoT, DevOps, asigurarea calității, testarea, securitatea, arhitectura soluțiilor, precum și guvernanța Atlassian și IT. Compania deservește clienți B2B din industrii precum sectorul bancar, telecomunicațiile, retailul, sănătatea, energia, industria auto și logistica, punând accent pe soluții digitale scalabile și pe transformarea tehnologică pe termen lung.

Senior Data Engineer — Remote in Spain at knowmad mood

Join knowmad mood as a Senior Data Engineer building scalable Spark and PySpark pipelines on Microsoft Azure. You will develop governed, production-ready data solutions for digital transformation clients.

Descriere

  • Build, enhance, and tune large-scale data pipelines with Apache Spark and Python/PySpark
  • Produce dependable, reusable datasets for analytical and business use cases
  • Create and support cloud data solutions on Microsoft Azure
  • Efficiently process, transform, store, and make data available across platforms and applications
  • Establish pipeline controls for data quality, validation, monitoring, and documentation
  • Work with data engineering, data science, architecture, and business stakeholders to translate needs into practical solutions
  • Advance engineering standards covering code quality, testing, version control, CI/CD, and automation
  • Use data governance, cataloging, and quality-monitoring practices
  • Help shape scalable architectures for cloud-based data platforms

Cerințe

  • At least five years of professional experience in data engineering
  • At least five years of production experience using Apache Spark with Python or PySpark
  • A track record of building and maintaining production-grade pipelines in large-scale or complex data environments
  • Solid knowledge of dimensional modeling and data warehouse design
  • Experience architecting scalable cloud-based data platforms
  • Ability to advise on ETL/ELT practices and data engineering standards
  • Preferred: experience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows
  • Preferred: practical experience delivering data engineering solutions with Azure Databricks
  • Preferred: familiarity with data governance and data cataloging frameworks

Beneficii

  • Permanent employment contract
  • Fully remote working model, with office attendance optional at the employee’s discretion
  • Flexible schedule and shorter Fridays
  • Reduced working hours during July and August
  • 22 vacation days plus 2 personal days
  • December 24 and 31 provided as days off
  • Choice between 12 or 14 annual payments
  • Flexible benefits package including a restaurant card, childcare voucher, health insurance, training, and other tax-advantaged options
  • Discounts on technology, leisure, and training services
  • Udemy Business access, language learning, official certifications, and technical training
  • Career development support for growth, specialization, and new challenges
  • Programs supporting nutrition, physical activity, and emotional wellbeing
  • 24/7 personal and family assistance
  • Diverse, multicultural workplace
  • Social and team-building activities

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