CONVOTIS
CONVOTIS
501 – 1,000 Employees
B2BSaaS
CONVOTIS is a global strategic IT partner helping businesses modernize operations and improve efficiency. Its services span Business IT, Platform IT, and Managed IT, covering business applications, digital platform solutions, and end-to-end IT infrastructure management. With around 1,000 employees across 23 locations in nine countries, CONVOTIS supports B2B and SaaS organizations through flexible, long-term partnerships and 24/7 IT support.

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.

Description

  • 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

Requirements

  • 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

Benefits

  • 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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