Data Ingestion Engineer

Há 1 mês

Amadora, Portugal Siemens S.A. Tempo inteiro
Digital value creator.

We have lots of ideas about how to successfully drive digitalization in companies. For example, with open cloud platforms, highly developed security systems, and clever tools for developers. What is your role in this? Move the world from behind the scenes with your IT expertise and passion for game-changing information technology. Rethink IT and steer projects in completely new directions. Be bold when others would have given up. In short, it plays a key role in driving digitalization forward We’ll provide the resources you need to do this. We also offer a variety of opportunities to get involved and to be part of a global network of IT experts and professionals. Welcome to our world

As a Data Ingestion Engineer, your main responsibilities include developing, managing, and monitoring data pipelines and ensuring the smooth execution and scalability of the data integration service for our customers.

In this role, you will actively contribute to strategic programs and projects aimed at driving Siemens towards becoming a data-driven company. 

This position requires expertise in data architecture & data modelling frameworks, a DataOps mindset to enable scalable data product delivery and a data first mindset. You make other data teams shine The work will cover an active collaboration and co-creation with different data teams around the globe focusing on topics such as data ingestion, best practices, solution designs, reusable patterns.

Join us in this role to shape the way data integration is done and contribute to our journey towards a data-driven future.

Your problem-solving mindset creates real business value. This is your role.  You are part of an international data analytics team with diverse backgrounds, utilizing state-of-art data analytics methods to accelerate Siemens internal digitalization. You interact regularly with other data teams across Siemens as a consultant, enabler, and mentor. You drive pragmatic approaches to solve complex business problems leveraging your data expertise. You design and implement ready-for-production DataOps methods and pipelines improving the way data teams develop, test, and deploy data products. You keep abreast of new products and product improvements and constantly work on innovating and improving our modern data stack. You create visibility for the team’s activity and products, communicate successes and business value generated by applying modern data architecture and modelling frameworks. You understand cloud-native technologies and platforms. You focus your expertise on reusing and automation. You leverage collaborative data development tools that let data teams work more effectively. Design and implement effective database solutions and models to store and retrieve company data.
Use your skills to move the world forward. University Degree in Mathematics, Computer Science, Business Administration, or a related quantitative field, or equivalent practical experience. Data Integration and Data Ingestion expertise. Proficient programming skills in SAP ABAP (expert skills a plus but not required). Knowledge on how to monitor an SAP system. SAP SLT knowledge as a plus. Working with major Cloud technologies (AWS, Azure) and associated warehouses and tools (Snowflake, DBT) as a plus. Very good English skills. You are a real team player. What you can expect from us… A hybrid and flexible working model to promote a better work-life balance, along with a budget for home office support and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, and the chance to join sports groups.In addition, you'll have access to online learning platforms and discounts with our partners. A shuttle bus to commute to the facilities and the possibility of financial support to your studies. #Siemens #TomorrowWithUs  Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool

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