Hybrid Data Engineer, Data Ops & Insights

Posted last week

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About the role

  • Build and maintain reliable data and ML pipelines for analytics and reporting;
  • Partner with analysts to deliver clean, well-modeled datasets and support their workflows;
  • Ensure data quality, accuracy, and availability across the BI platform;
  • Monitor, troubleshoot, and optimize data processes for performance and reliability;
  • Contribute to data warehouse development and ongoing maintenance;
  • Integrate Generative AI and LLM-based solutions into data pipelines and workflows.

Requirements

  • 2+ years of hands-on experience in data engineering or analytics
  • Strong SQL skills with a solid understanding of data modeling, data quality, and warehouse principles
  • Experience working with dbt or similar transformation frameworks
  • Proficiency in Python; knowledge of Golang is a strong plus
  • Experience with CI/CD tools such as GitHub Actions
  • Exposure to workflow orchestration tools like Dagster, Airflow, or Prefect
  • Experience with BI tools (e.g., Superset, Looker, or similar)
  • Understanding of software development best practices and version control
  • Curiosity and ability to learn and apply emerging technologies, including Generative AI and LLMs.

Benefits

  • Gross salary starting point from 4500 EUR/month based on experience
  • An unlimited learning budget for self-improvement complying with the best interest of Omnisend
  • Working methods and best practices inspired by the best tech companies in Silicon Valley
  • Over 80% senior colleagues in Product - and over half company-wide - to accelerate your growth
  • Flexible working hours and remote work possibilities
  • Private health insurance
  • Unlimited access to psychotherapy
  • Workstation budget
  • Personalized work anniversary gifts (house cleaning, spa treatments, international flights etc.)
  • Annual company trip abroad, company gatherings twice a year, team-led teambuildings
  • Additional days off for KASP and Rifleman’s Union members
  • Inclusive family-related time-off policy.

Job title

Data Engineer, Data Ops & Insights

Job type

Experience level

JuniorMid level

Salary

€4,500 per month

Degree requirement

No Education Requirement

Location requirements

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