Data Engineer
Ready to help build a better future for generations to come?
In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.
Join us and make a difference!
Your future team
You will join our Factory of the Future team within Group R&D - a passionate community of specialists who develop and implement the latest technologies for stone wool production.
Our team’s mission is to transform the way we operate by building next-generation OT & IT solutions that drive smarter, more efficient, and more sustainable manufacturing. As part of this journey, we are expanding our Data Science and Engineering capabilities and you could be a key part of it.
What you will be doing
- Design, build, and automate data pipelines for industrial process analysis
- Create systems for efficient storage and access to large-scale operational data
- Ensure data quality, reliability, and accessibility for ML model training and deployment
- Develop real-time visualizations and dashboards to monitor industrial operations
- Engineer data infrastructure for deploying ML solutions both on-premises and in the cloud
- Evaluate and validate new technologies in production environments
- Collaborate closely with Data Scientists and stakeholders to align technology across all levels of the organization
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 12,200 employees, located in 40+ countries with 42 manufacturing facilities… all focused on one common purpose – to release the natural 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 (SDGs) 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 ROCKWOOL 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.
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 1 day 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.
What you bring
- 2+ years of experience in data engineering, preferably in a production or industrial setting
- Experience with relational and non-relational databases (SQL, NoSQL, InfluxDB)
- Solid programming skills in Python
- Strong knowledge of data pipelines and ELT processes
- Proficiency in data warehousing and data lake technologies (on-prem & cloud)
- Experience with big data frameworks (Kafka, Apache Spark, Flink)
- Understanding of IT/OT convergence and data quality management
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with DevOps tools
- Familiarity with Linux environments
Tools and technologies you’ll work with
- Data storage: PostgreSQL, MS SQL Server, MongoDB, S3/MinIO
- Transformation & orchestration: DBT, Apache Airflow, Luigi
- Big data: Apache Kafka, Apache Flink, Apache Spark
- Cloud platforms: AWS S3, Azure Blob Storage, GCP Cloud Storage
- Visualization: Grafana, Apache Superset, Power BI
- DevOps: Git, Docker, CI/CD, OpenShift
