Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
About the role
- Data Management Engineer managing product data for optical transmission technologies at Nokia. Collaborating with cross-functional teams to drive innovation and enhance product development.
Responsibilities
- oversee part requests and manage the Bill of Materials (BOM) for accurate product development data management.
- ensure the accuracy, consistency, and integrity of product data across all platforms and processes.
- support the introduction of new Product Data Management (PDM) systems, defining requirements for successful integration.
- conduct user acceptance testing (UAT) to validate new processes and drive improvements in data management systems.
- simplify and automate PDM processes to enhance efficiency and reduce the time for data-related workflows.
- perform data analysis to extract insights and generate actionable reports, informing key business decisions.
- collaborate with cross-functional teams to align on data strategies, fostering a culture of data quality and excellence.
- lead initiatives to continuously improve data governance practices, enhancing overall product development efficiency.
Requirements
- University degree in Mechanical or Electrical Engineering or Business Administration
- Analytical and structured thinking, high problem-solving skills
- Teamwork and experience in coordinating various stakeholders
- Expertise in PDM tools e.g. Enovia R2014x, Agile PLM, Aras Innovator, PTC Windchill, etc.
- Deep expertise in Microsoft Office tools
- English and German fluently spoken and written
- Ability to work independently and self-organized
- Good communication skills
- It would be nice if you also had:
- Expertise in collaboration with EMS partners or suppliers on prototype and volume production
- Expertise in electrical or mechanical design and technical documentation of telecom hardware
- Expertise in data analysis, data classification, data formats and data structures
- Knowledge in scripting languages, e.g. VBA, Python, Perl, SQL.
Benefits
- flexible work arrangements
- professional development opportunities
- comprehensive benefits package
- health and wellness programs
- employee discounts
- generous time-off policies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer designing and implementing big data solutions at DATAIS. Collaborating with clients to deliver actionable business insights and innovative data products in a hybrid environment.
SAP Data Engineer supporting MERKUR GROUP in becoming a data - driven company. Responsible for data integration, ETL processes, and collaboration with various departments.
Big Data Engineer designing and managing data applications on Google Cloud. Join Vodafone’s global tech team to optimize data ingestion and processing for machine learning.
Data Engineer building and maintaining data pipelines for Farfetch’s data platform. Collaborating with the Data team to improve data reliability and architecture in Porto.
Senior Data Engineer at Razer leading initiatives in data engineering and AI infrastructure. Collaborating across teams to develop robust data solutions and enhancing AI/ML projects.
Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.
Data Engineer supporting a fintech company in building and maintaining data pipelines. Collaborating with tech teams and enhancing data processing in a high - volume environment.
Staff Engineer developing innovative data solutions for dentsu's B2B marketing vision. Collaborating using cutting - edge cloud technologies and mentoring engineers in their careers.
Senior Data Engineer developing and optimizing data pipelines for Scene+’s cloud - native platform in Toronto. Collaborating across teams to enhance data governance and analytics capabilities.