Data Engineer (m/f/d)
Publication date:
08 June 2023Workload:
100%Contract:
Unlimited employmentPlace of work:
Küsnacht ZH
Data Engineer (m/f/d)
Anforderungs-ID
2023-43711
Arbeitzplätze
CH-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 | ...
Organisation
Novelis Göttingen Manufacturing Facility
Kategorie
Informatik
Jobtyp
Standard
Zusätzliche Standorten
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 | ...
Zeitplan
Regulär Vollzeit
Stadt
Küsnacht
Bundesstaat/Staat/Provinz
ZH
Land
CH
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 design and develop 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 perform unit and integration testing
- 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 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
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 2-3 years of experience
- You have passion for data engineering in the manufacturing sector
- You have proven expertise in working with SQL and Python
- You have the ability to work with and communicate to various stakeholders and tell a compelling story with data
- You are self-driven, working independently, well-organized and have excellent communication and presentation skills
- You have a good technical understanding and are able to put this into a business context
- You know how to positively manage change in response to shifting demands, as well as multiple projects and priorities simultaneously
- Business fluent in English and German is required, French 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 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.
Optionen
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