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Rockwool

Data Engineer

Rockwool is hiring a Data Engineer in Warsaw, Poland. Level rates it ; you can apply on Rockwool.

Level's read on this job

  • Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
  • The posting mentions Databricks among its tools and skills.
  • Level classes it as a mid-level role.
  • Rockwool has 268 other open roles on Level.
  • Posted in the last few days.

AI in this role

databricks

We are seeking a Data Engineer position based in our Warsaw or Poznań location to join the Data Science & Engineering team.


Ready to help build a better future for generations to come?  

In an ever-changing world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work with dedication to enrich modern living through our innovative stone wool solutions.

Join us and make a meaningful difference!


Your future team:

You will join our Data Science & Engineering Team, a group of 12 skilled professionals including the Team Leader. The team combines strong expertise in data engineering, analytics, and machine learning, and is structured into several project‑focused sub‑teams working across a variety of business areas.

On a daily basis, you will work with several other Data Engineers on the platform (around 5 people).


What you will be doing:

Are you ready to make a real impact and shape the future of our global data platform? We are seeking an experienced Data Engineer to join our team and take on a pivotal role in driving innovation and excellence.


As a Data Engineer, you will be the key person responsible for proposing and implementing cutting-edge solutions. You will design and enhance our robust data platform built on Snowflake and Azure, leveraging dbt Cloud for transformations. Your expertise will be crucial in introducing new features, optimizing CI/CD pipelines, automating processes, and improving governance and monitoring.


We need someone who thrives on solving complex problems and is passionate about platform hardening and continuous improvement. If you enjoy creating impactful solutions and working independently, this opportunity is perfect for you.


Join us and play a vital role in driving the growth and success of our data platform!


We work in Kanban, and we use Jira to organize whole project from top to bottom.


What you bring:

  • 3-5+ years of experience in data engineering
  • Ability to work in Scrum in Kanban using Jira
  • Ability to gather requirements and work independently with business stakeholders
  • Ability to propose solutions and solving them independently
  • Experience working in international team
  • Proficiency in English at a minimum B2 level, spoken and written

Technical skills:

Must-have:

  • Snowflake
  • DBT
  • SQL
  • Python or other objective language (Java, C# etc.)
  • Relational databases
  • CI/CD operations
  • Git (preferred: GitHub), Gitops
  • Data architecture skills
  • Data integration skills

Big advantage:  

  • IaaC concepts
  • Data modeling skills (star, snowflake, vault, etc.)
  • Azure
  • Iceberg
  • Terraform
  • Github Actions

Nice-to-have:

  • Jinja
  • PowerBI
  • Supermetrics
  • GCP
  • Domain knowledge - finance, marketing, sales
  • Databricks
  • NoSQL databases

What we offer:  

By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan’s city center in the new prestigious office building – Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities.

Our compensation package on employment contracts includes:   

  • An office-first approach: home office is available up to 2 days per week
  • Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM
  • Home office subsidy
  • Private Medical Care
  • Multikafeteria MyBenefit
  • Wellbeing program
  • Extra Day Off for voluntary activities

… and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit.


Interested?  

If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English.


Who we are 
We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,000 employees, located in 40+ countries with 51 manufacturing facilities… all focused on one common purpose - to release the inherent power of stone to enrich modern living.   
 
Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDG’s) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water.  Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it.     
 

Diverse and Inclusive Culture 
We want all our people to feel valued, respected, included and heard.  We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees. 
 
At ROCKWOOL, you will experience a friendly team environment. Our culture is very important to us.  In fact, we refer to our culture as "The ROCKWOOL Way".  This is the foundation in which we operate and is based upon our values of ambition, responsibility, integrity and efficiency.

How we rate this

Data Engineer at Rockwool rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$150k

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