Senior Data Engineer - Snowflake & Azure Platform Lead

ROCKWOOL International A/S

Poznań

On-site

PLN 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Competitive salary
Permanent contract after probation
Development package
Team building events
Office in Poznan city center (Nowy Ry3

Job summary

ROCKWOOL International A/S in Poznań is seeking a (Senior) Data Engineer to shape our global data platform. You will design and extend our Snowflake/Azure-based architecture, implement dbt Cloud transformations, and drive CI/CD automation and governance improvements.

The role emphasizes independent work, international collaboration, and a strong focus on platform hardening and continuous improvement. You will join a data science and engineering team operating in a Kanban workflow with Jira,

Qualifications

  • 3–5+ years of data engineering experience.
  • Ability to work in Scrum in Kanban using Jira.
  • Ability to gather requirements and work independently with business stakeholders.
  • Ability to propose solutions and solve problems independently.
  • Experience in international teams.
  • English proficiency at least B2 (spoken and written).
  • Must-have: DBT, SQL, Python or Java/C#; relational databases; CI/CD; data architecture and integration.
  • Nice-to-have: PowerBI, GCP, NoSQL, Databricks, Snowflake, Terraform, Azure, Iceberg, Terraform, GitHub Actions.

Responsibilities

  • Design and enhance ROCKWOOL's data platform built on Snowflake and Azure.
  • Leverage dbt Cloud for transformations and optimize CI/CD pipelines.
  • Improve governance and monitoring, automate processes, and harden platforms.
  • Collaborate in a Kanban environment and coordinate with stakeholders across international teams.

Skills

Data engineering
Jira
GIT
CI/CD
Snowflake
Azure
dbt Cloud
Python
SQL
Data modeling

Tools

GitHub
Terraform
Databricks

Job description

ROCKWOOL International A/S in Poznań is seeking a (Senior) Data Engineer to shape our global data platform. You will design and extend our Snowflake/Azure-based architecture, implement dbt Cloud transformations, and drive CI/CD automation and governance improvements.

The role emphasizes independent work, international collaboration, and a strong focus on platform hardening and continuous improvement. You will join a data science and engineering team operating in a Kanban workflow with Jira,

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