Data Engineer @ ROCKWOOL Global Business Service
(práce v Polsku)

Data Engineer @ ROCKWOOL Global Business Service

Polsko

• 2+ years of experience in data engineering preferably for production Industry
• Experience working with relational and non-relational databases (SQL, NoSQL, Influx DB)
• Understanding of IT/OT convergence
• Expertise in data pipelines and ELT (Extract, Load, Transform) processes
• Proficient in data warehousing and data lake technologies on-premises and in the cloud
• Experience with big data (Kafka, Apache Spark)
• Strong understanding of data quality and cleaning techniques
• Familiarity with cloud platforms for data storage and processing
• Familiarity with DevOps tools and practices

We are looking for a Data Engineer based in our Poznan location to join the Data Science team in ROCKWOOL. 

Your future team: 

We have recently started a journey towards using more digitalization and automation and better use of data – and this is where your abilities come into play. You will join our Data Science team and work at the forefront of AI and machine learning. This role is based in our Poznan office, but is an integral part of a larger global Data Science & Engineering team spread across Denmark, Poland and Malaysia. 

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.

,[Automate data flow for analysis of industrial processes. , Design systems to store and access industrial data efficiently. , Ensure data quality for ML models in industrial automation. , Create real-time data visualizations for industrial operations. , Engineer data infrastructure for deployment of machine learning solutions both on-premises and in the cloud. , Evaluate and validate new technologies in industrial settings. , Support Data Science Team in creating robust and innovative AI solutions , Have continuous dialog with stakeholders ensuring technology alignment at multiple levels. ] Requirements: Python, SQL, NoSQL, Data pipelines, Data Lake, Cloud, Big data, Apache Spark, Cloud platform, DevOps, AWS, Data engineering, Relational database Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Canteen, Bike parking, Playroom, Modern office.

Kategorie

data

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