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Senior Data Engineer

World leader in stone wool solutions, transforming volcanic rock into sustainable products since 1937.
Poznań, PolandWarsaw, MO 65355, USA
Data
Senior Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Enterprise SaaS · Manufacturing

Job Description

ROCKWOOL, a global leader in stone wool solutions with over 12,200 employees across 40+ countries, is seeking a Senior Data Engineer to join their Data Science & Engineering team in Poland. This role offers an exciting opportunity to work on cutting-edge data solutions using modern technologies like Snowflake, Databricks, and Azure.

The position sits within an 8-member Data Science & Engineering team, focusing on creating smart, seamless experiences for stakeholders worldwide. As a Senior Data Engineer, you'll be instrumental in designing and enhancing the company's data platform, implementing new features, and optimizing processes.

The role requires strong technical expertise in data engineering, with at least 3 years of experience and proficiency in technologies such as SQL, Python, Snowflake, Databricks, and Kafka. The ideal candidate should have excellent data architecture skills and experience working in international teams.

ROCKWOOL offers an attractive compensation package including hybrid work options, flexible hours, private medical care, and various other benefits. The company strongly emphasizes sustainability and diversity, actively contributing to 11 UN Sustainable Development Goals. The work environment reflects the "ROCKWOOL Way" culture, based on values of ambition, responsibility, integrity, and efficiency.

This is an excellent opportunity for a data engineering professional looking to make an impact in a global company committed to sustainable solutions and digital transformation. The role offers significant growth potential and the chance to work with cutting-edge technologies in a supportive, development-focused environment.

Last updated 8 hours ago

Responsibilities For Senior Data Engineer

  • Design and enhance data platform built on Snowflake, Databricks and Azure
  • Implement cutting-edge solutions
  • Introduce new features and optimize CI/CD pipelines
  • Automate processes
  • Improve governance and monitoring
  • Work with business stakeholders to gather requirements

Requirements For Senior Data Engineer

Python
Kafka
MongoDB
PostgreSQL
  • At least 3 years of experience in data engineering
  • English C1 proficiency
  • Data architecture skills
  • Data integration skills
  • Experience with SQL and Python
  • Experience with Snowflake, Databricks, and Spark
  • Knowledge of CI/CD operations and Git
  • Experience with DBT and Kafka
  • Ability to work in Scrum/Kanban using Jira
  • Experience working in international team

Benefits For Senior Data Engineer

Medical Insurance
  • Competitive salary
  • Permanent contract after probation
  • Home office up to 2 days per week
  • Flexible working hours (7:00 AM - 9:00 AM start)
  • Home office subsidy
  • Private Medical Care
  • Multikafeteria MyBenefit
  • Wellbeing program
  • Extra Day Off for voluntary activities
  • Modern office space
  • Subsidized canteen
  • Development package
  • Team building events

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