Data Engineer (GCP) - Data & AI Factory

13k - 19k PLN/ mies.UoP
MidFull-time·Umowa o pracę
#365149·Dodano dziś·0
Źródło: nofluffjobs.com
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Tech Stack / Keywords

GCPdbtAIData visualizationRelational databaseData build toolBIData warehouseETLData modelingNoSQLBig DataSparkHadoopHiveCommunication skills

Firma i stanowisko

For our customer, French-origin IT consulting and digital transformation company we are seeking experienced Data Engineers to join a Data & AI Factory team.


Wymagania

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent experience)
  • Strong proficiency in Python
  • Experience working with Vertex AI and GCP data services
  • Strong SQL skills and experience with relational databases
  • Solid experience with dbt (Data Build Tool)
  • Experience with Power BI for data visualization and reporting
  • Exposure to Dataiku (certification is a strong advantage)
  • Experience with data architecture, including data warehouse design, ETL/ELT pipelines, and data modeling
  • Knowledge of NoSQL databases and distributed data systems
  • Exposure to big data technologies such as Apache Spark, Hadoop (Hive, Pig)
  • Strong communication skills and fluency in English

Obowiązki

  • Work as part of a Data & AI Factory team supporting data operations and AI initiatives for enterprise clients
  • Design, build, maintain, and troubleshoot data pipelines, transformations, and data models
  • Develop and support data observability and data quality solutions
  • Translate business requirements into data-driven solutions and analytical products
  • Act as a technical advisor and mentor for junior engineers
  • Lead by example in engineering best practices, code quality, and delivery standards
  • Collaborate in an Agile environment and follow ITIL-aligned operational practices
  • Participate in on-call rotations (including nights and weekends when required)

Oferta

  • Remote work model
  • Up to 26 days of annual vacation
  • MultiSport card (70% covered)
  • Monthly cafeteria allowance (200 points/month)
  • Contribution for corrective eyewear
  • Private medical care including dental coverage
  • Structured career management with annual performance reviews
  • Training, certifications, and access to Udemy
  • Continuous learning in modern data, AI, and cloud technologies
  • Opportunities to attend conferences and technical events
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