CONVOTIS
CONVOTIS
501 – 1.000 Angajați
B2BSaaS
CONVOTIS este un partener strategic global în domeniul IT, care ajută companiile să își modernizeze operațiunile și să își îmbunătățească eficiența. Serviciile sale includ Business IT, Platform IT și Managed IT, acoperind aplicații de business, soluții pentru platforme digitale și gestionarea de la un capăt la altul a infrastructurii IT. Cu aproximativ 1.000 de angajați în 23 de locații din nouă țări, CONVOTIS sprijină organizațiile B2B și SaaS prin parteneriate flexibile și pe termen lung, precum și prin asistență IT disponibilă 24/7.

Senior Data Engineer, BI and ETL — Databricks, Airflow, dbt, Snowflake — Germany Remote

Senior Data Engineer building BI and ETL pipelines and data models for CONVOTIS Iberia, a technology consultancy. Use Databricks, Airflow, dbt, and Snowflake to support analytics and AI initiatives.

Descriere

  • Design, build, and evolve robust, maintainable data pipelines and models
  • Orchestrate workflows with Airflow, including monitoring, alerts, retries, and quality checks
  • Create and enhance analytical models with dbt using modularity, testing, documentation, and lineage
  • Help define layered architectures and data contracts for BI, analytics, and AI
  • Improve process performance, cost efficiency, and reliability
  • Identify technical debt and opportunities to simplify systems
  • Collaborate with business, BI, and platform teams to turn requirements into sustainable data solutions
  • Explore and apply AI use cases to improve development, quality, documentation, and data utilization

Cerințe

  • Around four years of data engineering experience; shorter careers may be considered when they demonstrate equivalent seniority, impact, and autonomy
  • Strong command of SQL and Python
  • Hands-on experience with Databricks, Airflow, dbt, and Snowflake
  • Knowledge of data modeling, version control, CI/CD, observability, and data quality
  • Ability to analyze complex problems, propose alternatives, and explain technical decisions clearly
  • Product mindset with a collaborative approach and commitment to continuous improvement
  • Experience with data governance, catalogs, lineage, security, or cost management is valued
  • Experience modernizing platforms from legacy processes toward reusable models and semantic layers is valued
  • Experience applying generative AI or machine learning to data engineering or new data products is valued
  • Willingness to share knowledge, review code, and raise the team's technical standards is valued

Beneficii

  • Flexible working hours
  • Option to work from the office or home
  • Health insurance
  • Flexible compensation
  • Internal events
  • Outdoor activities
  • Recreational days
  • Padel matches
  • Take your vacation when needed
  • Training opportunities
  • English classes
  • Professional certifications
  • Coffee, sweets, and table football at the office

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