Grossunternehmen |
540 Angestellte (Schweiz) |
| Temporär: Nein | Pensum: 100% |
| CH-8700 Küsnacht ZH | Sprache: en |
| Homepage |
Data Engineer (m/f/d)
Anforderungs-ID2023-43711 ArbeitzplätzeCH-ZH-Küsnacht | DE-Göttingen | CH-VS-Sierre | DE-ST-Nachterstedt |
DE-NW-Plettenberg | DE-RP-Koblenz | IT-Pieve Emanuele | IT-Bresso | FR-38-Voreppe | UK-Cheshire-Warrington | UK-West
Midlands-Birmingham | ... OrganisationNovelis Göttingen Manufacturing Facility KategorieInformatik JobtypStandard
Zusätzliche StandortenDE-Göttingen | CH-VS-Sierre | DE-ST-Nachterstedt | DE-NW-Plettenberg | DE-RP-Koblenz | IT-Pieve
Emanuele | IT-Bresso | FR-38-Voreppe | UK-Cheshire-Warrington | UK-West Midlands-Birmingham | ... ZeitplanRegulär
Vollzeit StadtKüsnacht Bundesstaat/Staat/ProvinzZH LandCH
Positionsübersicht
Who we are
Novelis is driven by its purpose to shape a sustainable world together.
As a global leader in innovative products and services and the world's largest recycler of aluminum, we partner with
customers in the automotive, beverage can, aerospace and specialties industries to deliver solutions that improve the
benefits of balanced lightweight aluminum.
We have a coordinated network of technically sophisticated rolling and recycling plants as well as foundries across 33
facilities in 9 countries throughout North America, South America, Europe, and Asia with 12,690 employees worldwide.
The company is headquartered in Atlanta, USA.
Our customers include some of the largest and best-known brands in the world, including Coca-Cola, Ford, BMW, Jaguar
Land Rover, Airbus, Boeing, Nespresso, Samsung, and others. In addition, Novelis is leading the industry with its
sustainability and recycling efforts.
Become part of our mission to create a sustainable world and start as soon as possible at our European Headquarter in
Küsnacht (Switzerland) or at one of our locations in Europe (Switzerland, Germany, UK, France or Italy) as:
Data Engineer (m/f/d)
Verantwortlichkeiten & Qualifikationen
What awaits you:
As Data Engineer you would be joining our Global Digital Team and will aid in the optimization of operations by
manipulating and aggregating the disparate operational and back-office data sources into a format that is easily
digestible by both data scientists and statistically adept colleagues. Your core responsibility will be to combine
large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous
access to a clean format of the operational data for data scientists and other stakeholders. In addition, you will also
assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management.
- You work with the group of data scientists and business SMEs to get the requirements and present the data profile,
develop the data architecture and ensure security and maintenance
- Furthermore, you explore suitable options, design and create data pipeline (data lake / data warehouses) for
specific analytical solutions
- You work with machine telemetry data to improve processes and provide advanced analytics solutions
- You design, develop and test data ingestion pipelines and processes based on requirements in Python, SQL and PySpark
- You create error handling, exception management and data quality routines to expose the anomalies in the data
- You profile and analyze data to identify gaps and potential data quality issues
- You identify relationships between disparate data sources and use Python, Databricks and Spark to code the data
Engineering routines
- You identify gaps and implement solutions for data security, integrity and automation of processes
- You build data tools and products for effort automation and easy data accessibility and support maintenance, bug
fixing and performance analysis along as well as diagnose existing architecture and data maturity
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How you convince us:
- You hold a university degree on bachelor level in computer science or similar, master degree is a plus
- You bring at least 5 years of experience
- You have a good technical understanding and are able to put this into a business context
- You have the ability to work with and communicate to various stakeholders and tell a compelling story with data
- You have proven expertise in working with SQL and Python, knowledge on Spark is a plus
- You have passion for data engineering and advanced analytics. Interest in the manufacturing sector is a plus
- You are self-driven, working independently, well-organized and have excellent communication and presentation skills
- You know how to positively manage change in response to shifting demands, as well as multiple projects and
priorities simultaneously
- Business fluent in English is required, German or other European language skills are a plus
What Novelis offers you:
- A permanent position with the global pioneer for technology and sustainability in the future market of aluminum
processing and recycling
- An attractive salary package as well as a company pension plan
- Flexible working time models and hybrid work model with the possibility for mobile working
- Corporate Benefits: Attractive purchasing benefits from well-known companies such as Apple, WMF, Sixt or Adidas
- An open corporate culture with the opportunity to drive things forward and contribute ideas
- High occupational safety standards including free occupational medical care as well as an offer within the framework
of health management
- The opportunity to shape a sustainable world together
Have we caught your interest?
Then become part of our team! We are looking forward to your application!
You can apply easily with your resume via our application system in less than 5 minutes.
Please note that postal applications cannot be processed and considered.
We live diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social
origin, religion/belief, disability, age, sexual orientation, and identity.
#LI-KM1
Standortprofil
This position can be filled at one of our Novelis locations in Europe.
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