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Data Engineer

ROCKWOOL GLOBAL BUSINESS SERVICE CENTER

Poznań, 1B, building D1 Wierzbięcice
Hybrydowa
Praca stała
🐍 Python
📊 Big Data
Linux
Cloud
Praca stała
Hybrydowa
Pełny etat

We are seeking a Data Engineer position based in our Poznań location to join the R&D team.  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 teamYou 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 What you bring 2+ years of experience in data engineering, preferably in a production or industrial setting Degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical foundations) 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) Hands-on experience with on-premise data infrastructure 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 What we offerBy 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. Interested?  If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English. 

Wyświetlenia: 1
Opublikowana3 dni temu
Wygasaza 27 dni
Rodzaj umowyPraca stała
Tryb pracyHybrydowa
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